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| # Practice answer keys | |
| One file per practice hospital: the flaws we put in (kind, severity, a plain description, and the evidence a correct find cites), plus reference measures comparing each hospital with hospital_a, the clean reference. | |
| For each measure: `value` is what this hospital shows; `chance_p95` and `chance_p99` are what two clean samples of the same size show by chance 95% and 99% of the time; `verdict` is our call (within chance, borderline, weak, strong). A value above `chance_p99` is unlikely to be chance. | |
| Patients shared across practice hospitals under different ids: hospital_b & hospital_e: 2 | |
| ## Measures | |
| - `aaa_prev_diff`: AAA prevalence difference (= EMD on the binary label) | |
| - `size_class_hellinger`: Hellinger distance over aaa_size_class | |
| - `diameter_w1_mm`: W1 over max_aortic_diameter_mm, mm | |
| - `age_band_tv`: TV over age band | |
| - `sex_tv`: TV over sex | |
| - `phase_tv`: TV over contrast phase | |
| - `slice_class_tv`: TV over slice_thickness_class | |
| - `vendor_tv`: TV over scanner_vendor | |
| - `feature_c2st_auc`: classifier two-sample AUC, aorta HU and log organ volumes | |
| - `embed_c2st_auc`: classifier two-sample AUC, embedding PCA-32 | |
| - `embed_mmd2`: unbiased MMD^2, RBF, embedding PCA-32 | |
| - `cmi_s_y_given_x`: I(S;Y|X) in nats, Y = aaa, X = baseline predicted diameter | |
| - `label_pred_w1_mm`: W1 over (label diameter - baseline predicted diameter), mm | |
| - `dice_gap`: |mean baseline aorta Dice difference| | |
| - `aaa_balacc_gap`: |baseline AAA balanced accuracy difference| | |
| - `shortcut_max_phi`: max phi between one study_description or protocol_name value and aaa (values on 3 or more rows) | |
| - `shortcut_u`: I(study_description; aaa) / H(aaa), plug-in (uncertainty coefficient, so prevalence alone does not raise it) | |
| - `neff_deficit_pid`: 1 - n_eff / n, ICC of diameter by released patient_id | |
| - `neff_deficit_emb`: 1 - n_eff / n, ICC of diameter by near-duplicate embedding cluster | |
| - `near_dup_rate`: share of rows with a within-hospital embedding neighbour closer than 0.25 | |