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Fix exam simulation score prediction

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hz
2026-07-30 16:00:29 -05:00
parent ae6b37eb7d
commit 778da32e73
9 changed files with 282 additions and 57 deletions
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scripts/ui/ccs_hub.gd
+1 -1
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@@ -297,7 +297,7 @@ func _build_performance_summary(dark: bool) -> void:
if combined != null:
prediction_value = "%d" % int(combined)
prediction_detail = "Range %d-%d" % [int(CCSService.prediction.get("rangeLow", 0)), int(CCSService.prediction.get("rangeHigh", 0))]
_add_metric(row, "Combined Prediction", prediction_value, prediction_detail, dark)
_add_metric(row, "Provisional Combined Estimate", prediction_value, prediction_detail, dark)
func _add_metric(parent: BoxContainer, caption: String, value: String, detail: String, dark: bool) -> void:
scripts/ui/dashboard_screen.gd
+3 -3
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@@ -94,7 +94,7 @@ func _build() -> void:
readiness_segment_bar = DashboardSegmentBar.new()
readiness_segment_bar.custom_minimum_size = Vector2(0, 10)
_add_stat_card("readiness", "Exam Readiness", "chart-no-axes-column-increasing", Brand.PURPLE, readiness_segment_bar,
"Predicted pass probability from your most recent completed exam simulation.")
"Heuristic pass probability from your most recent completed exam simulation.")
accuracy_progress_bar = ProgressBar.new()
accuracy_progress_bar.show_percentage = false
@@ -254,8 +254,8 @@ func _render_readiness_card(data: Dictionary) -> void:
var label := str(label_value)
var pass_percent := int(data.get("examReadinessProjectedPassPercent", 0))
var status_color := Brand.SUCCESS if label == "High" else (Brand.AMBER if label == "Medium" else Brand.MAGENTA)
var caption := "You're on track!" if label != "Low" else "Keep practicing"
_set_stat_card("readiness", label, "Projected pass: %d%%" % pass_percent, status_color, caption)
var caption := "Provisional estimate" if label != "Low" else "Keep practicing"
_set_stat_card("readiness", label, "Heuristic pass: %d%%" % pass_percent, status_color, caption)
(metric_values.get("readiness") as Label).add_theme_color_override("font_color", status_color)
readiness_segment_bar.set_progress(int(round(pass_percent / 100.0 * 4.0)), 4, status_color, dark)
scripts/ui/simulation_results.gd
+6 -3
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@@ -67,9 +67,12 @@ func on_show(payload: Variant = null) -> void:
var low := int(score.get("rangeLow", 0))
var high := int(score.get("rangeHigh", 0))
var probability := int(round(float(score.get("passProbability", 0.0)) * 100.0))
score_label.text = "Predicted Step 3 score: %d (%d-%d)" % [predicted, low, high]
summary_label.text = "%d/%d correct | Estimated probability of reaching 200: %d%% | Previously seen questions: %d\nThis provisional educational estimate is not an official USMLE or NBME score and excludes CCS performance." % [
int(score.get("correct", 0)), int(score.get("total", 0)), probability, int(score.get("seenCount", 0))]
var raw_accuracy := float(score.get("rawAccuracy", 0.0)) * 100.0
var adjusted_accuracy := float(score.get("difficultyAdjustedAccuracy", 0.0)) * 100.0
score_label.text = "Provisional Step 3 estimate: %d (%d-%d)" % [predicted, low, high]
summary_label.text = "%d/%d correct (%.1f%%) | Difficulty-adjusted accuracy: %.1f%%\nHeuristic probability of provisional score >=200: %d%% | Previously seen questions: %d\nThis transparent, unvalidated educational heuristic is not an official USMLE or NBME score and excludes CCS performance." % [
int(score.get("correct", 0)), int(score.get("total", 0)), raw_accuracy, adjusted_accuracy,
probability, int(score.get("seenCount", 0))]
_clear(category_list)
for category in score.get("categories", {}):
var value: Dictionary = score["categories"][category]