{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505988,0.00008329994,0.0005052605,0.0002970194,0.00002141729,0.000007501453,0.0001128204,0.00008877421,0.00005306939],"category_scores_gemma":[0.0008257452,0.00005957822,0.00007258367,0.0002925572,0.00007663041,0.0001110386,0.00007274744,0.0005577807,0.000005262048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001651202,"about_ca_system_score_gemma":0.001721823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000111003,"about_ca_topic_score_gemma":0.0002330065,"domain_scores_codex":[0.9986475,0.0001589647,0.0004265236,0.0001016169,0.0004019286,0.0002634299],"domain_scores_gemma":[0.9987919,0.000126544,0.0002742146,0.00008225703,0.000500055,0.0002250204],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00316344,0.0003116351,0.7814902,0.0002215914,0.0002770908,0.002117709,0.001970954,0.00006225808,0.0006967177,0.00001435374,0.04548218,0.1641919],"study_design_scores_gemma":[0.01068011,0.0144425,0.4992847,0.003785551,0.001233761,0.004895633,0.004607651,0.0009418741,0.005860036,0.0004174002,0.453361,0.0004897803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420449,0.01203922,0.00002601647,0.03313338,0.000817007,0.0001655246,0.000001473713,0.00001149778,0.01176097],"genre_scores_gemma":[0.9941265,0.0005211416,0.003224896,0.0004590261,0.0006722251,0.00002796682,4.010442e-7,0.00001398595,0.0009538617],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4078788,"threshold_uncertainty_score":0.4317835,"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."}}