{"id":"W2128756499","doi":"10.1001/archdermatol.2010.302","title":"The Performance of MelaFind","year":2010,"lang":"en","type":"article","venue":"Archives of Dermatology","topic":"Cutaneous Melanoma Detection and Management","field":"Medicine","cited_by":229,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"","keywords":"Medicine; Biopsy; Melanoma; Breslow Thickness; Confidence interval; Dermatology; Prospective cohort study; Radiology; Pathology; Cancer; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002713282,0.0004063747,0.000263857,0.0002954855,0.0002058007,0.0007896011,0.0003013484,0.0005193217,0.001993012],"category_scores_gemma":[0.01137268,0.0001538033,0.0002254733,0.0001169712,0.0003701681,0.0005108127,0.0002880053,0.0004318184,0.0005233021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004163253,"about_ca_system_score_gemma":0.0003028573,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000404478,"about_ca_topic_score_gemma":0.0002855269,"domain_scores_codex":[0.9977739,0.0008892543,0.0001087025,0.0006133824,0.0004951971,0.0001195193],"domain_scores_gemma":[0.9932593,0.003810301,0.001256397,0.0006652279,0.0007705973,0.0002381987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.03169939,0.00132576,0.5437491,0.000629664,0.0004373947,0.0005662262,0.0006921476,0.001921027,0.1654855,0.0003973904,0.001351798,0.2517445],"study_design_scores_gemma":[0.0009156803,0.0300804,0.5844534,0.0001417999,0.0003812654,0.007902432,0.0002002422,0.01410937,0.3526872,0.0005470126,0.008505668,0.00007549191],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925448,0.001936488,0.002406553,0.0001232119,0.00002479183,0.00005230034,0.0001255415,0.00005863479,0.002727648],"genre_scores_gemma":[0.9984809,0.0001248163,0.0009418663,0.00005664797,0.00001254103,0.00001658409,0.00008672071,0.000006118208,0.0002739261],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002713282,"threshold_uncertainty_score":0.01434934,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005406434837269289,"score_gpt":0.2288593563781394,"score_spread":0.2234529215408701,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}