{"id":"W2028966355","doi":"10.1097/01.nurse.0000444547.64972.dc","title":"Independent double-checks for high-alert medications","year":2014,"lang":"en","type":"article","venue":"Nursing","topic":"Patient Safety and Medication Errors","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"Hôtel-Dieu Grace Healthcare","funders":"","keywords":"Medicine; Computer science","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":[0.00287429,0.001742945,0.001270111,0.003155522,0.001701313,0.001064794,0.001301823,0.001768705,0.01387727],"category_scores_gemma":[0.0202506,0.0006567452,0.000820424,0.0009373972,0.0003133125,0.001096047,0.001324745,0.002239753,0.006466935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008955965,"about_ca_system_score_gemma":0.001998558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003531334,"about_ca_topic_score_gemma":0.004927339,"domain_scores_codex":[0.9952282,0.0009884303,0.001007799,0.0006277238,0.001796989,0.0003508206],"domain_scores_gemma":[0.9759542,0.006941315,0.0048448,0.002562067,0.00820252,0.001495192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008182954,0.004088669,0.4539408,0.001396421,0.0004581168,0.004665476,0.002103749,0.0005695737,0.02778628,0.0005637186,0.08168708,0.4145572],"study_design_scores_gemma":[0.0005886072,0.006147238,0.8132473,0.001452976,0.0006802555,0.01050868,0.001963705,0.00596944,0.08596875,0.0008257302,0.07235954,0.000287766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8557137,0.009636749,0.02497036,0.007369203,0.004666507,0.004077889,0.005851981,0.006001447,0.08171206],"genre_scores_gemma":[0.9002107,0.002421575,0.03764174,0.007866669,0.001623425,0.001329708,0.003096254,0.0008682777,0.04494164],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01387727,"threshold_uncertainty_score":0.04642409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.096980112288953,"score_gpt":0.4532384727804292,"score_spread":0.3562583604914762,"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."}}