{"id":"W4317438869","doi":"10.1136/bmjqs-2022-015358","title":"Reducing unnecessary diagnostic phlebotomy in intensive care: a prospective quality improvement intervention","year":2023,"lang":"en","type":"article","venue":"BMJ Quality & Safety","topic":"Sepsis Diagnosis and Treatment","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Michael's Hospital; Health Sciences Centre; University of Toronto; Sunnybrook Health Science Centre","funders":"Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Phlebotomy; Prospective cohort study; Emergency medicine; Intensive care unit; Hematocrit; Intensive care medicine; Surgery; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.004622211,0.0005188056,0.0003876681,0.0006690335,0.001007553,0.0009930332,0.0006681793,0.000619914,0.001595579],"category_scores_gemma":[0.008514917,0.0002963993,0.0007474148,0.001168298,0.0008065719,0.0005930793,0.001178367,0.0007306969,0.00009373132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00670412,"about_ca_system_score_gemma":0.01728117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06847349,"about_ca_topic_score_gemma":0.09665788,"domain_scores_codex":[0.9954846,0.002209075,0.0002738195,0.0003831675,0.0009088961,0.0007405453],"domain_scores_gemma":[0.9929562,0.001064877,0.002337222,0.0002718169,0.001004512,0.002365455],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.02680529,0.06517021,0.5335469,0.002076603,0.001024093,0.0001978226,0.003959393,0.003044927,0.002489866,0.0003884063,0.005863818,0.3554327],"study_design_scores_gemma":[0.01069125,0.03794302,0.9459594,0.0002716782,0.0004425124,0.0000472056,0.000906811,0.001814182,0.0005302054,0.00008949656,0.001270929,0.00003347452],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958469,0.0004914536,0.0004431172,0.0008730077,0.00003159045,0.001455338,0.0001841482,0.00003394922,0.0006404948],"genre_scores_gemma":[0.9945973,0.0004205411,0.003188769,0.0002343572,0.00004280974,0.0009926067,0.0002750178,0.000003219895,0.0002453018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06847349,"threshold_uncertainty_score":0.1361499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1101833498104465,"score_gpt":0.4505720519837075,"score_spread":0.340388702173261,"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."}}