{"id":"W4417207033","doi":"10.1158/1557-3265.earlyonsetca25-a034","title":"Abstract A034: Model-free scoring system for risk prediction and early detection","year":2025,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Statistical Methods and Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Receiver operating characteristic; Oracle; Risk assessment; Limiting; Cancer; Disease; Function (biology)","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":[0.008581379,0.00142257,0.001468723,0.003268642,0.0006335688,0.002786878,0.001862545,0.001392222,0.007025418],"category_scores_gemma":[0.02973034,0.0003918651,0.001074148,0.001612846,0.0006002442,0.00148583,0.001994704,0.001417972,0.002229588],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001347162,"about_ca_system_score_gemma":0.002503438,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007592683,"about_ca_topic_score_gemma":0.003160288,"domain_scores_codex":[0.9949419,0.002636718,0.0004040402,0.000479099,0.00133281,0.0002053536],"domain_scores_gemma":[0.988705,0.005344936,0.0008544014,0.0009956959,0.003734856,0.0003652191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001085647,0.0003281583,0.03046018,0.0002906321,0.000360274,0.0004458703,0.0001413281,0.3158698,0.004326144,0.0217065,0.0310084,0.593977],"study_design_scores_gemma":[0.00004190565,0.0001382465,0.002559435,0.00002949839,0.00003139543,0.0001294621,0.00001662435,0.9860437,0.0007138357,0.008515704,0.001737514,0.0000428302],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.03341919,0.0004720867,0.9576757,0.00092216,0.0001888202,0.0003537992,0.001309527,0.002463009,0.003195649],"genre_scores_gemma":[0.6207444,0.0003996965,0.3680818,0.0003842583,0.0002507162,0.0008281837,0.003482344,0.0002109954,0.005617651],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008581379,"threshold_uncertainty_score":0.04538321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4999134991118311,"score_gpt":0.6033027314913065,"score_spread":0.1033892323794754,"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."}}