{"id":"W2776460164","doi":"10.1136/bmj.j5742","title":"Low dose CT screening for lung cancer","year":2017,"lang":"en","type":"editorial","venue":"BMJ","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Lung cancer; Lung cancer screening; Medicine; Computed tomography; Nuclear medicine; Radiology; Medical physics; Oncology","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":[0.008474534,0.0044059,0.003920689,0.00335466,0.002140193,0.005098002,0.004580636,0.01510311,0.007817191],"category_scores_gemma":[0.02751171,0.001735418,0.003567481,0.001458954,0.002255685,0.004404809,0.0009677255,0.02671723,0.009020424],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003743316,"about_ca_system_score_gemma":0.002627358,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002833971,"about_ca_topic_score_gemma":0.005216977,"domain_scores_codex":[0.9949728,0.001126408,0.0008608081,0.0004602699,0.002359025,0.0002207351],"domain_scores_gemma":[0.982165,0.01046455,0.0008420493,0.0004784263,0.004351697,0.001698247],"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":[0.0001557031,0.00002958403,0.00005389905,0.001059133,0.00005415627,0.0001406739,0.00002031627,0.00003278813,0.0001151197,0.0003467233,0.9848836,0.01310835],"study_design_scores_gemma":[0.0003564072,0.0001589107,0.0007482157,0.001858712,0.0001956491,0.0005668947,0.00006109318,0.0002025678,0.0001967774,0.0009541214,0.9946684,0.00003231383],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.00006839319,0.02557115,0.0001226372,0.02888959,0.9436859,0.00004446565,0.0000749776,0.00006974526,0.00147317],"genre_scores_gemma":[0.0005072375,0.0221554,0.0001191599,0.02887173,0.9429374,0.00003987982,0.0000511596,0.00003451791,0.00528348],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.01510311,"threshold_uncertainty_score":0.0448181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02737818163738984,"score_gpt":0.4005289589601924,"score_spread":0.3731507773228025,"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."}}