{"id":"W1985846319","doi":"10.1097/01.ede.0000181313.61948.76","title":"Analysis of Mortality Data From Cancer Screening Studies","year":2005,"lang":"en","type":"article","venue":"Epidemiology","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Medicine; Cumulative incidence; Incidence (geometry); Colorectal cancer; Mortality rate; Cancer; Cancer screening; Cumulative risk; Internal medicine; Cohort","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":[0.02431298,0.0007966692,0.001555253,0.01629745,0.0003859719,0.001229651,0.001156066,0.0007860482,0.002294676],"category_scores_gemma":[0.1111097,0.0004089616,0.002619119,0.01611895,0.0004146563,0.0007351257,0.00131833,0.0009484757,0.0006025887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001314039,"about_ca_system_score_gemma":0.001912642,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002391171,"about_ca_topic_score_gemma":0.002433515,"domain_scores_codex":[0.9587755,0.01964249,0.008104084,0.002835215,0.01000666,0.0006361014],"domain_scores_gemma":[0.8895092,0.07214012,0.01788957,0.01189691,0.007710652,0.0008536201],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001469651,0.0002030521,0.8155728,0.008790537,0.01100221,0.0003456392,0.0003743148,0.009410184,0.0009761154,0.002554782,0.01522158,0.1340791],"study_design_scores_gemma":[0.0003666312,0.001035808,0.9385228,0.001580198,0.002663861,0.0007712894,0.0003504106,0.006623856,0.001708824,0.003913517,0.04236995,0.00009288952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.574298,0.03326362,0.0645929,0.001923184,0.0005344794,0.003416829,0.3142117,0.001072662,0.006686732],"genre_scores_gemma":[0.6601483,0.007764425,0.0366119,0.0004873427,0.0003495262,0.005705412,0.2879041,0.00009019284,0.0009387793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02431298,"threshold_uncertainty_score":0.1285808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7287248533381201,"score_gpt":0.5784446370266049,"score_spread":0.1502802163115152,"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."}}