{"id":"W4318931844","doi":"10.1161/circoutcomes.122.009277","title":"Methods to Enhance Causal Inference for Assessing Impact of Clinical Informatics Platform Implementation","year":2023,"lang":"en","type":"article","venue":"Circulation Cardiovascular Quality and Outcomes","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Medicine; Informatics; Health informatics; Causal inference; Intensive care unit; Emergency medicine; Medical emergency; Intensive care medicine; Nursing; Public health","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2752184,0.004605568,0.004314481,0.01009181,0.002541844,0.004933702,0.005543026,0.004106184,0.0131368],"category_scores_gemma":[0.5578884,0.002104247,0.01486378,0.006716277,0.005073308,0.005658832,0.006286782,0.007762961,0.000870817],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002888375,"about_ca_system_score_gemma":0.008050853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00558674,"about_ca_topic_score_gemma":0.004505411,"domain_scores_codex":[0.6838512,0.278431,0.01015313,0.01763032,0.008671911,0.001262415],"domain_scores_gemma":[0.1486617,0.8119748,0.0164831,0.01777798,0.004217301,0.0008852306],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.009874537,0.002952954,0.1755779,0.01508132,0.0600852,0.001524079,0.004622482,0.162188,0.004179921,0.1220316,0.01437008,0.4275118],"study_design_scores_gemma":[0.003885248,0.003542068,0.02021822,0.001410178,0.01069377,0.0005586157,0.0008550684,0.7703782,0.005193555,0.1695911,0.01328632,0.0003875354],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01665997,0.0006632759,0.9716542,0.001053959,0.0003035144,0.004003233,0.002231127,0.002038092,0.001392668],"genre_scores_gemma":[0.1509597,0.0001741683,0.8357022,0.0004543258,0.0001288051,0.01125037,0.0007530851,0.000208936,0.0003683593],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7247816,"threshold_uncertainty_score":0.8937847,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4107656592187916,"score_gpt":0.6884051209880567,"score_spread":0.2776394617692651,"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."}}