{"id":"W7096643121","doi":"","title":"PHARMACISTS ’ ROLE IN PREVENTING MEDICATION ERRORS WITH POTASSIUM","year":2015,"lang":"en","type":"article","venue":"","topic":"Potassium and Related Disorders","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Inquest; Accidental; Documentation; Potassium; Action (physics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002205431,0.00007971483,0.000121514,0.0001004896,0.00001621998,0.000004795685,0.00004434919,0.00006726858,0.0001268567],"category_scores_gemma":[0.00004301427,0.00005226361,0.00002013771,0.0002043025,0.00003913388,0.00007373015,0.00001397078,0.0001632444,0.00006883818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004853242,"about_ca_system_score_gemma":0.0001553792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006340547,"about_ca_topic_score_gemma":0.00002060452,"domain_scores_codex":[0.9992627,0.00002418077,0.0001537076,0.0001458867,0.0002363205,0.0001772334],"domain_scores_gemma":[0.9996083,0.000009845777,0.00004549012,0.0001174965,0.00003997749,0.000178906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001420298,0.002006121,0.871514,0.0002230299,0.0002956173,0.0003796569,0.008137177,0.000406174,0.01182403,0.000556716,0.02839065,0.0748466],"study_design_scores_gemma":[0.1285638,0.003193554,0.5543033,0.0018472,0.00165327,0.002862339,0.0318388,0.112268,0.04677147,0.005505717,0.1084497,0.002742838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8026256,0.0005252253,0.0002978464,0.002611389,0.0001126566,0.0002841486,5.419952e-7,0.0001017937,0.1934408],"genre_scores_gemma":[0.9944421,0.00002475405,0.0008471123,0.0003409933,0.00003346059,0.000013909,0.00002059051,0.00001193692,0.004265158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3172106,"threshold_uncertainty_score":0.2131248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01885412236654297,"score_gpt":0.2884305841093064,"score_spread":0.2695764617427635,"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."}}