{"id":"W4220779215","doi":"10.1007/s10549-022-06528-0","title":"Post-diagnostic beta blocker use and breast cancer-specific mortality: a population-based cohort study","year":2022,"lang":"en","type":"article","venue":"Breast Cancer Research and Treatment","topic":"Cancer, Stress, Anesthesia, and Immune Response","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Queen's University; University of Auckland; Auckland Medical Research Foundation","keywords":"Medicine; Breast cancer; Hazard ratio; Proportional hazards model; Cancer; Internal medicine; Population; Cohort; Oncology; Cohort study; Cause of death; Gynecology; Confidence interval; Disease; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0008958636,0.0003420653,0.0003909915,0.0006257566,0.0004307841,0.0006768103,0.0005183756,0.0004560926,0.001143811],"category_scores_gemma":[0.002067218,0.0003810795,0.0008598394,0.001178331,0.0002571302,0.0004268123,0.000509116,0.0008129102,0.0002652862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000673514,"about_ca_system_score_gemma":0.0008187844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05154758,"about_ca_topic_score_gemma":0.06252234,"domain_scores_codex":[0.9994465,0.0001109572,0.00006119919,0.0001551878,0.0001389409,0.00008722831],"domain_scores_gemma":[0.9990026,0.00008663358,0.0004665938,0.0001447337,0.0001491195,0.0001503596],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000105196,0.00003096089,0.9988335,0.00001117972,0.0001243668,0.00003862733,0.00006203518,0.0000158529,0.0001480648,0.000007186094,0.0000820754,0.0005411098],"study_design_scores_gemma":[0.00001488729,0.00006260399,0.9994298,0.000005747027,0.00005954813,0.00009960336,0.0000667566,0.00007267337,0.00002094718,0.000006760521,0.0001584358,0.000002209778],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979996,0.0003345448,0.0001280928,0.00006961446,0.00001004974,0.00003482571,0.001120699,0.000003253317,0.0002993694],"genre_scores_gemma":[0.9980335,0.0003640023,0.0001860642,0.00005406986,0.00001608016,0.00003245743,0.001021545,0.000002215723,0.0002901894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05154758,"threshold_uncertainty_score":0.1024951,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05542429143326465,"score_gpt":0.3547274577287967,"score_spread":0.299303166295532,"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."}}