{"id":"W1138370978","doi":"10.1097/jto.0000000000000652","title":"Refining Prognosis in Lung Cancer","year":2015,"lang":"en","type":"article","venue":"Journal of Thoracic Oncology","topic":"Lung Cancer Research Studies","field":"Medicine","cited_by":39,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"National Institutes of Health","keywords":"Medicine; Lung cancer; Population; Disease; Cancer; Oncology; Identification (biology); Medical physics; Intensive care medicine; Personalized medicine; Internal medicine; Bioinformatics","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":[0.01053727,0.0005217325,0.0007420169,0.002521688,0.001214576,0.002049704,0.001092917,0.0007861895,0.002580456],"category_scores_gemma":[0.0487166,0.0002778661,0.0009694785,0.003044436,0.0006985043,0.002895076,0.001540298,0.00163277,0.0007785365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001205307,"about_ca_system_score_gemma":0.00296939,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01171988,"about_ca_topic_score_gemma":0.01628,"domain_scores_codex":[0.994774,0.003037673,0.0006381728,0.0003924282,0.00064484,0.00051273],"domain_scores_gemma":[0.9825982,0.007185979,0.003698776,0.002453316,0.003017037,0.001046711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002486707,0.00008184936,0.9654281,0.00007298296,0.0001671684,0.00004020712,0.0002288078,0.0002394407,0.00006802662,0.0002930909,0.001295949,0.03183568],"study_design_scores_gemma":[0.00005969766,0.0008966745,0.9796091,0.000357767,0.001274622,0.0004533101,0.002414354,0.00227665,0.0009929144,0.004607079,0.007015262,0.00004251201],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9676642,0.01134752,0.003311632,0.007143938,0.0004231689,0.0001120547,0.002659729,0.0000794825,0.007258284],"genre_scores_gemma":[0.9949623,0.001622807,0.001424924,0.0002819712,0.0001346338,0.00003205723,0.0009334872,0.00001214034,0.0005956826],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01171988,"threshold_uncertainty_score":0.05572706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09822665380393408,"score_gpt":0.5511675105923424,"score_spread":0.4529408567884083,"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."}}