{"id":"W7096689549","doi":"","title":"Resource Utilization and Costs during the Initial Years of Lung Cancer Screening with Computed Tomography in Canada","year":2016,"lang":"en","type":"article","venue":"","topic":"Genome Rearrangement Algorithms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computed tomography; Lung cancer screening; Work (physics); Lung cancer; Resource (disambiguation); Download; Cost–benefit analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003535471,0.0003129761,0.0003528696,0.001394994,0.001139487,0.001428222,0.001446234,0.0006124586,0.004170912],"category_scores_gemma":[0.003518421,0.0003430358,0.0006950615,0.004333047,0.0006495976,0.0004521626,0.00104346,0.0009507713,0.0003300599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0533016,"about_ca_system_score_gemma":0.04701252,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9953411,"about_ca_topic_score_gemma":0.9952124,"domain_scores_codex":[0.9989391,0.00008158702,0.00008301421,0.0001166182,0.0002817393,0.0004979926],"domain_scores_gemma":[0.9977004,0.0002006339,0.000530955,0.00004696139,0.0006509838,0.0008701415],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002504706,0.00007802376,0.9748834,0.00008651982,0.0001647188,0.0003152362,0.0003119221,0.002592539,0.0001295873,0.0006372996,0.007941574,0.01260869],"study_design_scores_gemma":[0.00002222851,0.00003627741,0.9942085,0.0000811292,0.00005365377,0.0001540546,0.001117311,0.002336189,0.00008096781,0.0001224825,0.001762655,0.00002467522],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723213,0.002097674,0.000147368,0.002617182,0.00004304263,0.00004319977,0.01895346,0.00003246801,0.00374418],"genre_scores_gemma":[0.9923308,0.00136083,0.000120791,0.0002225764,0.00001465885,0.00001377183,0.004705535,0.00001048719,0.001220573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0533016,"threshold_uncertainty_score":0.386732,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009082101914287466,"score_gpt":0.2293904949381381,"score_spread":0.2203083930238506,"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."}}