{"id":"W2005635251","doi":"10.1002/chp.21133","title":"Impact of Knowledge Resources Linked to an Electronic Health Record on Frequency of Unnecessary Tests and Treatments","year":2012,"lang":"en","type":"article","venue":"Journal of Continuing Education in the Health Professions","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Canadian Institutes of Health Research","keywords":"Curiosity; Intervention (counseling); Relevance (law); Medicine; Electronic health record; MEDLINE; Health records; Cognition; Clinical decision support system; Family medicine; Medical emergency; Psychology; Nursing; Health care; Decision support system; Computer science; Psychiatry; Data mining; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01073864,0.0002472246,0.0004365774,0.001811117,0.0005381523,0.001805096,0.000661975,0.001028705,0.006081544],"category_scores_gemma":[0.1947727,0.0002531315,0.001020391,0.001510393,0.0004640199,0.002013555,0.001531393,0.0008700503,0.0004160695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223738,"about_ca_system_score_gemma":0.002226852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005910318,"about_ca_topic_score_gemma":0.005363037,"domain_scores_codex":[0.9810746,0.01275712,0.001901497,0.0006636725,0.00293381,0.0006692283],"domain_scores_gemma":[0.6407603,0.2971902,0.04874478,0.003190536,0.005361899,0.004752305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002357214,0.001127108,0.8765363,0.001393922,0.0005299972,0.0003348127,0.001608439,0.0005753902,0.0002485342,0.0001548493,0.002392403,0.112741],"study_design_scores_gemma":[0.0001949834,0.001510067,0.989263,0.001601804,0.0004888925,0.000600374,0.00250375,0.000945464,0.0003267743,0.0002541363,0.002266241,0.00004443547],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9837403,0.00444354,0.0002446719,0.003455285,0.00004384701,0.0001346685,0.0008427115,0.00004180672,0.0070533],"genre_scores_gemma":[0.9974148,0.001128431,0.0005123774,0.0003629483,0.00004846245,0.00004623464,0.0002271291,0.00000660562,0.000252849],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01073864,"threshold_uncertainty_score":0.05679202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09619414790188992,"score_gpt":0.5436648037118703,"score_spread":0.4474706558099804,"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."}}