{"id":"W2765335987","doi":"10.1016/s1470-2045(17)30597-1","title":"Participant selection for lung cancer screening by risk modelling (the Pan-Canadian Early Detection of Lung Cancer [PanCan] study): a single-arm, prospective study","year":2017,"lang":"en","type":"article","venue":"The Lancet Oncology","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":219,"is_retracted":false,"has_abstract":false,"ca_institutions":"St. Paul's Hospital; Queen's University; Vancouver General Hospital; University of Calgary; Ottawa Hospital; University Health Network; Dalhousie University; St. Joseph’s Healthcare Hamilton; Institut universitaire de cardiologie et de pneumologie de Québec; Juravinski Cancer Centre; Memorial University of Newfoundland; BC Cancer Agency; Brock University","funders":"Partenariat Canadien Contre Le Cancer; Terry Fox Research Institute; Pancreatic Cancer Action Network","keywords":"Medicine; Lung cancer; National Lung Screening Trial; Lung cancer screening; Cancer; Internal medicine; Body mass index; Family history; Prospective cohort study; Incidence (geometry); Oncology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.01179284,0.002930366,0.002444562,0.0006421755,0.003834488,0.001321844,0.003926753,0.002856807,0.002693179],"category_scores_gemma":[0.01932399,0.001542778,0.004151851,0.001909051,0.001328274,0.001071785,0.001677939,0.002508481,0.0004515112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008810138,"about_ca_system_score_gemma":0.01659179,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6977629,"about_ca_topic_score_gemma":0.6970337,"domain_scores_codex":[0.9928387,0.003542052,0.000379747,0.001117419,0.001307933,0.0008141061],"domain_scores_gemma":[0.9933402,0.001549357,0.001378301,0.001426677,0.001378587,0.0009268121],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.07290781,0.004829752,0.8613386,0.001660292,0.01753928,0.0006579477,0.002108716,0.001634255,0.001439167,0.001732011,0.008696795,0.02545544],"study_design_scores_gemma":[0.0204777,0.009344702,0.9398125,0.0004346315,0.01333299,0.0007846015,0.001294159,0.004782099,0.0004387604,0.001682873,0.007243535,0.0003713628],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858167,0.002406692,0.002421023,0.0006263552,0.0001313489,0.002529996,0.004879283,0.00004970668,0.001138879],"genre_scores_gemma":[0.9857063,0.0009658305,0.004666862,0.0005888814,0.0001076216,0.002388591,0.004343245,0.0000302626,0.001202484],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3022371,"threshold_uncertainty_score":0.608034,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09311705415612477,"score_gpt":0.3962157338154152,"score_spread":0.3030986796592905,"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."}}