{"id":"W4412829596","doi":"10.1097/01.cot.0000000000000141","title":"Risk Model Predicts Melanoma Spread With Precision","year":2025,"lang":"en","type":"article","venue":"Oncology Times","topic":"Computational Drug Discovery Methods","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Melanoma; Artificial intelligence; Econometrics; Mathematics; Medicine; Cancer research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005317637,0.0001305338,0.000211877,0.0001631669,0.0001246428,0.00005529119,0.0006895781,0.00009997792,0.00002267509],"category_scores_gemma":[0.0001445806,0.0001035207,0.00004507517,0.0003864124,0.00008177724,0.000325363,0.0003896533,0.0001796424,0.00006919665],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001189668,"about_ca_system_score_gemma":0.0006990893,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001621613,"about_ca_topic_score_gemma":0.00001702118,"domain_scores_codex":[0.9986672,0.0002974826,0.0001922468,0.0004269043,0.0002061172,0.0002100952],"domain_scores_gemma":[0.9982658,0.001025196,0.0001041834,0.0004475745,0.0000990519,0.00005820734],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001126253,0.0002178632,0.002687537,0.00001031934,0.00009600903,0.00002813582,0.000525668,0.5206968,0.00005795191,0.1387781,0.02478318,0.3120058],"study_design_scores_gemma":[0.0005110538,0.0002452735,0.007575552,0.00002479719,0.0000228433,0.00001255291,0.000007555059,0.8896687,0.0004149499,0.09340739,0.008005892,0.0001034646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02664595,0.0001345614,0.8490782,0.001406221,0.0002346671,0.0001709454,0.000005692074,0.0001189781,0.1222047],"genre_scores_gemma":[0.2803094,0.00002554014,0.7062764,0.0005757287,0.00003940427,0.00004682664,0.000004495975,0.000008922141,0.01271326],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3689719,"threshold_uncertainty_score":0.4221451,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01452018703466154,"score_gpt":0.3151236669456666,"score_spread":0.3006034799110051,"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."}}