{"id":"W3004140946","doi":"10.1001/amajethics.2020.93","title":"When Is a Suboptimal Approach to Cancer Screening Better Than None?","year":2020,"lang":"en","type":"article","venue":"The AMA Journal of Ethic","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Institute for Cancer Research","funders":"","keywords":"Cancer; Medicine; Cancer screening; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000831359,0.0001415505,0.0003601927,0.00006150176,0.0001055236,0.00004756677,0.0003691211,0.00009183111,0.0002249994],"category_scores_gemma":[0.0001915244,0.00008713293,0.0001962403,0.0002507134,0.00007291452,0.0001468524,0.00008880028,0.001081147,0.00002916004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000492248,"about_ca_system_score_gemma":0.0001852507,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001867332,"about_ca_topic_score_gemma":0.000008127462,"domain_scores_codex":[0.9983767,0.00008523493,0.0003765297,0.0001570571,0.0007260467,0.0002784748],"domain_scores_gemma":[0.9988839,0.00007557375,0.000222973,0.0001872322,0.0002920621,0.0003382281],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01017645,0.0002385721,0.2301415,0.0005027475,0.002381378,0.000871348,0.1647116,0.005808098,0.04087047,0.0006566358,0.461738,0.0819032],"study_design_scores_gemma":[0.02366419,0.01449976,0.555705,0.009990442,0.00610293,0.008484311,0.03155572,0.02790171,0.04164836,0.008497206,0.268804,0.003146427],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7234383,0.001474224,0.01441215,0.2577254,0.0001061109,0.0001985339,0.00000542792,0.00001536982,0.002624501],"genre_scores_gemma":[0.8973268,0.00005676907,0.01489223,0.08622063,0.001374463,0.000004705394,6.053515e-7,0.00001886192,0.0001049932],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3255635,"threshold_uncertainty_score":0.4697106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1953433057900765,"score_gpt":0.3685311465461859,"score_spread":0.1731878407561094,"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."}}