{"id":"W2969507223","doi":"10.1513/annalsats.201905-389ps","title":"Safely and Effectively Evaluating Computed Tomography–detected Lung Lesions. Much Work to Be Done","year":2019,"lang":"en","type":"article","venue":"Annals of the American Thoracic Society","topic":"Lung Cancer Diagnosis and Treatment","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"U.S. Department of Veterans Affairs","keywords":"Medicine; Radiology; Computed tomography; Radiography; Lung; Work-up; Medical physics; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.00838368,0.001211321,0.0009453631,0.002417833,0.001547558,0.00549954,0.001463838,0.003663271,0.01374144],"category_scores_gemma":[0.031032,0.0003935236,0.000976121,0.0007695045,0.002286223,0.004331897,0.001657776,0.004687496,0.006863222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001365903,"about_ca_system_score_gemma":0.005462361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00306436,"about_ca_topic_score_gemma":0.005219606,"domain_scores_codex":[0.993475,0.003928331,0.0004534156,0.0003027895,0.001394388,0.0004459652],"domain_scores_gemma":[0.9797658,0.0112633,0.001135504,0.001739886,0.003880919,0.002214598],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003258099,0.001444798,0.04795693,0.001287068,0.0002392513,0.001216499,0.0005286372,0.001449883,0.003540468,0.004001785,0.1392803,0.7987287],"study_design_scores_gemma":[0.0007732331,0.001980772,0.2318879,0.01837302,0.0007754411,0.0222457,0.01412603,0.01571247,0.01416894,0.1671629,0.5120471,0.0007464979],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1093794,0.1067678,0.09839366,0.5130015,0.01398518,0.001659485,0.001122243,0.001899757,0.153791],"genre_scores_gemma":[0.6734991,0.08022176,0.1198083,0.08095379,0.0224141,0.0008494016,0.001466205,0.000521096,0.02026612],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01374144,"threshold_uncertainty_score":0.04596967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07166829250194551,"score_gpt":0.4147964368747186,"score_spread":0.3431281443727731,"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."}}