{"id":"W2316014517","doi":"10.1097/01.nurse.0000446633.63090.40","title":"Understanding beta-blockers","year":2014,"lang":"en","type":"article","venue":"Nursing","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Paul's Hospital","funders":"","keywords":"BETA (programming language); Adverse effect; Medicine; Intensive care medicine; Computer science; Pharmacology","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":[0.001166477,0.0007035402,0.0006396259,0.000667518,0.001021535,0.001584615,0.0005483169,0.004528806,0.03760164],"category_scores_gemma":[0.01338012,0.0002790369,0.0004763649,0.0002084271,0.0005301603,0.003612704,0.001536818,0.008290078,0.01799868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010567,"about_ca_system_score_gemma":0.001957562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002886977,"about_ca_topic_score_gemma":0.005541794,"domain_scores_codex":[0.9994105,0.0001684782,0.0000714756,0.00004547132,0.0002220152,0.00008207373],"domain_scores_gemma":[0.996177,0.001462367,0.0003243071,0.00008316719,0.0009387377,0.001014455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004138113,0.0001772863,0.001880807,0.0003250971,0.00001526581,0.0006486375,0.0003303732,0.0000712376,0.0003670902,0.00104119,0.8640822,0.1310195],"study_design_scores_gemma":[0.00004124738,0.0002980383,0.005950722,0.002344064,0.00004355632,0.007397115,0.00106557,0.0001964474,0.0003246005,0.009046299,0.9732473,0.00004517477],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"review","genre_scores_codex":[0.004065908,0.04392906,0.004790746,0.8304893,0.03113996,0.0001750359,0.0004286866,0.0006742611,0.084307],"genre_scores_gemma":[0.04145152,0.1561023,0.009022119,0.610036,0.05929387,0.0003814999,0.000876099,0.0002126865,0.1226238],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03760164,"threshold_uncertainty_score":0.1257901,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1029995335362021,"score_gpt":0.3093188617659128,"score_spread":0.2063193282297107,"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."}}