{"id":"W3007280359","doi":"10.1097/01.cot.0000657764.82764.b1","title":"Global Green Light for CT Lung Cancer Screening","year":2020,"lang":"en","type":"article","venue":"Oncology Times","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Lung cancer; Cancer; Population; Erasmus+; Lung cancer screening; Randomized controlled trial; Breast cancer; Internal medicine; Environmental health","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000434367,0.0001136273,0.0003151012,0.0000138211,0.0000607809,0.000006298463,0.00005844715,0.00005429537,0.0006123612],"category_scores_gemma":[0.00002415135,0.0000884484,0.0001098697,0.0001024755,0.00002760383,0.00003291799,0.00003327847,0.00005299621,0.00002412397],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003947577,"about_ca_system_score_gemma":0.0002451443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000330582,"about_ca_topic_score_gemma":0.0001607585,"domain_scores_codex":[0.9992903,0.0000166216,0.0001383453,0.0002533385,0.00008780839,0.0002136109],"domain_scores_gemma":[0.9995754,0.00004819031,0.00005634813,0.0001001022,0.00004961328,0.0001702892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004769081,0.0001833378,0.3150963,0.000162947,0.0007887167,0.0001890264,0.0002365152,0.00002330751,0.00007040318,0.000643792,0.6002849,0.08184376],"study_design_scores_gemma":[0.005105429,0.001426009,0.03179034,0.0001104811,0.0009691971,0.00003655962,0.00005920889,0.001699663,0.001059855,0.00006621995,0.9575344,0.0001426114],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1027578,0.02115302,0.001758985,0.7224064,0.0009446809,0.00310515,0.0004174534,0.0004043387,0.1470522],"genre_scores_gemma":[0.9637199,0.0003966945,0.006889958,0.02050836,0.001635999,0.0008117395,0.00007254751,0.00003564113,0.005929169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8609621,"threshold_uncertainty_score":0.6704926,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488447924005959,"score_gpt":0.3602536276005093,"score_spread":0.3353691483604497,"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."}}