{"id":"W4390510934","doi":"10.1001/jamainternmed.2023.7072","title":"Lifetime Gained With Cancer Screening","year":2024,"lang":"en","type":"article","venue":"JAMA Internal Medicine","topic":"Global Cancer Incidence and Screening","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Cancer screening; Cancer; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002951563,0.0008632047,0.001273597,0.001055156,0.001095033,0.002256917,0.001597642,0.006429899,0.008361612],"category_scores_gemma":[0.0410415,0.0004259024,0.0008714612,0.001061372,0.0007248572,0.002429843,0.000868458,0.01225232,0.00312466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00149103,"about_ca_system_score_gemma":0.001667837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003996551,"about_ca_topic_score_gemma":0.005578997,"domain_scores_codex":[0.9979604,0.000632639,0.0002307884,0.0002668134,0.0007117346,0.0001975731],"domain_scores_gemma":[0.9865031,0.007052267,0.00113859,0.0002569603,0.004062166,0.0009868458],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005830696,0.000009127086,0.001072618,0.0001619879,0.00005082109,0.0001356103,0.00002508457,0.00003997763,0.00002050146,0.0006075206,0.9835029,0.01431548],"study_design_scores_gemma":[0.0001962354,0.0001224756,0.01198901,0.002730377,0.0003687999,0.002543268,0.0003555452,0.0006832253,0.0002678291,0.003699845,0.9769041,0.0001392388],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0008449121,0.03047742,0.0001915744,0.8294696,0.1357911,0.000009238864,0.0006743571,0.00004031261,0.002501502],"genre_scores_gemma":[0.01982485,0.03611995,0.0002497234,0.5056041,0.4317627,0.00003914427,0.0006513011,0.00006136958,0.005686799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008361612,"threshold_uncertainty_score":0.02797234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05271739193344709,"score_gpt":0.3629754393322082,"score_spread":0.3102580473987611,"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."}}