{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007565736,0.00103721,0.001020054,0.00148424,0.001211402,0.003645396,0.00127636,0.006558279,0.0443995],"category_scores_gemma":[0.01450625,0.0003451905,0.003065819,0.001162046,0.001708491,0.003415487,0.003652832,0.008883698,0.008206778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003045021,"about_ca_system_score_gemma":0.005353421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008384203,"about_ca_topic_score_gemma":0.01485633,"domain_scores_codex":[0.9942617,0.002995349,0.0001821554,0.0004596187,0.001488429,0.0006126984],"domain_scores_gemma":[0.9939202,0.00240668,0.0006243338,0.000415554,0.001042298,0.001591017],"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":[0.001106143,0.0001887778,0.001596894,0.0009917513,0.0002472037,0.00005909251,0.00005775205,0.0001067766,0.0003627129,0.00874174,0.8330871,0.1534539],"study_design_scores_gemma":[0.003965643,0.0009166698,0.01213037,0.003635842,0.0004999769,0.0002022327,0.0002225585,0.0002755424,0.0004749174,0.01560223,0.9619885,0.00008545093],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.005667218,0.1275798,0.00193055,0.7278166,0.0765682,0.0003004221,0.00372706,0.0009538193,0.05545643],"genre_scores_gemma":[0.07569885,0.08132763,0.00791599,0.7421929,0.03504322,0.0008442643,0.003961502,0.0005510409,0.05246457],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.0443995,"threshold_uncertainty_score":0.1485311,"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."}}