{"id":"W4407301544","doi":"10.1001/jamanetworkopen.2024.58916","title":"Lung Cancer Screening and USPSTF Recommendations","year":2025,"lang":"en","type":"article","venue":"JAMA Network Open","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Task force; Lung cancer screening; Medicine; Lung cancer; Smoking history; Cancer; Family medicine; Physical therapy; Internal medicine; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"}],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002335761,0.0002190209,0.0005439698,0.003375747,0.0007123024,0.0009247437,0.0008568019,0.001052354,0.002521175],"category_scores_gemma":[0.0186863,0.000354385,0.0006463983,0.003351288,0.0002485344,0.0008742294,0.000615239,0.001033547,0.0006785538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001136453,"about_ca_system_score_gemma":0.001507084,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05059855,"about_ca_topic_score_gemma":0.0655728,"domain_scores_codex":[0.9947165,0.0009382232,0.0008076424,0.0004810599,0.002704132,0.0003525561],"domain_scores_gemma":[0.9858854,0.002208291,0.008743265,0.0003750882,0.001741937,0.001046021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003833385,0.0001006243,0.9928577,0.00005714217,0.00006959346,0.00002915449,0.00005456757,0.00004218111,0.00002594684,0.00008601541,0.003742604,0.002896199],"study_design_scores_gemma":[0.0000076627,0.00004624886,0.9980566,0.00005219136,0.00002451101,0.0001495057,0.00007177496,0.0000905944,0.00001738029,0.00002430772,0.001453614,0.000005644488],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"commentary","genre_scores_codex":[0.930876,0.005033102,0.0003184644,0.002306153,0.0001679765,0.0003978346,0.03498336,0.0001046219,0.02581248],"genre_scores_gemma":[0.9768861,0.001457995,0.00113109,0.0009589643,0.0001685075,0.0002345042,0.01642802,0.00002304293,0.002711775],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.05059855,"threshold_uncertainty_score":0.1006081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02473211679899993,"score_gpt":0.3791045790257809,"score_spread":0.354372462226781,"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."}}