{"id":"W3015415018","doi":"10.1002/cam4.3033","title":"Association between cancer‐specific adverse event triggers and mortality: A validation study","year":2020,"lang":"en","type":"article","venue":"Cancer Medicine","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Tellabs (Canada)","funders":"National Cancer Institute; AARP Foundation","keywords":"Medicine; Prostate cancer; Colorectal cancer; Cancer; Internal medicine; Cohort; Oncology; Lung cancer; Adverse effect; Logistic regression; Retrospective cohort study; Odds ratio; Cohort study; Breast cancer; Multivariate analysis","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008503992,0.0001332821,0.0003667442,0.00006214281,0.0003088434,4.054447e-7,0.00009544015,0.0001152079,0.00137787],"category_scores_gemma":[0.0004715002,0.0001099221,0.00002685201,0.0003559473,0.00005084066,0.0001060635,0.00003713689,0.0004057089,0.00004069142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005443502,"about_ca_system_score_gemma":0.0002731697,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007629092,"about_ca_topic_score_gemma":0.0001420011,"domain_scores_codex":[0.9978752,0.0003785155,0.0006044339,0.0003131764,0.0005543154,0.0002743881],"domain_scores_gemma":[0.998485,0.0002786556,0.0005921877,0.0001533598,0.0001625257,0.0003282579],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000421738,0.00002601342,0.9556673,0.0001073294,0.0001592287,0.000001393363,0.02501557,0.00003551528,0.00009065071,0.00001941495,0.0158004,0.003034997],"study_design_scores_gemma":[0.003510147,0.0002124065,0.8624249,0.0002850617,0.0003668912,2.865132e-8,0.01174757,0.0000641904,0.00002573701,0.00003059083,0.1212183,0.0001141344],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9337937,0.0008787643,0.000744171,0.06093442,0.001295603,0.001489044,0.00006582833,0.00009166434,0.0007067808],"genre_scores_gemma":[0.991906,0.001505672,0.000007150006,0.003340704,0.001966745,0.0004764565,0.00008658793,0.0000159693,0.0006946753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1054179,"threshold_uncertainty_score":0.999535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2044200471990581,"score_gpt":0.4850616669035224,"score_spread":0.2806416197044643,"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."}}