{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008823765,0.00143558,0.001381071,0.003371244,0.0005865825,0.003258934,0.0009927691,0.001179542,0.00218529],"category_scores_gemma":[0.03215638,0.0006592555,0.002509834,0.001225405,0.0004600158,0.001862269,0.001583002,0.002175845,0.001232362],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001131049,"about_ca_system_score_gemma":0.001269174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01243129,"about_ca_topic_score_gemma":0.005567369,"domain_scores_codex":[0.9976374,0.0008811362,0.0001902957,0.0006440742,0.0004888879,0.0001582335],"domain_scores_gemma":[0.9842581,0.01128486,0.001405219,0.001338708,0.001425437,0.0002876965],"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":[0.0009312551,0.0002709225,0.3261746,0.000270381,0.001747555,0.0004690245,0.0002275902,0.488302,0.0006725004,0.006295803,0.01799487,0.1566434],"study_design_scores_gemma":[0.0000918553,0.0001295401,0.01494156,0.0001408085,0.0003382334,0.0003299742,0.00004544601,0.9666363,0.0004301519,0.01385091,0.003003417,0.00006180692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4775128,0.01801358,0.455805,0.01117988,0.001593425,0.0005025837,0.008170608,0.008030678,0.0191915],"genre_scores_gemma":[0.9562159,0.001127411,0.03665169,0.0007375458,0.0004210693,0.00007796237,0.002919511,0.0001930537,0.00165578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01243129,"threshold_uncertainty_score":0.04666507,"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."}}