{"id":"W2055072071","doi":"10.2174/1874431120130607002","title":"Behavioral Health Order Sets in a Hybrid Information Environment","year":2013,"lang":"en","type":"article","venue":"The Open Medical Informatics Journal","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"","keywords":"Medicine; Order entry; Medical emergency; Clinical engineering; Mental health; Computerized physician order entry; Pharmacy; Clinical decision support system; Process (computing); Electronic health record; Emergency department; Information system; Nursing; Health care; Decision support system; Computer science; Psychiatry; Data mining","routes":{"ca_aff":true,"ca_fund":false,"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":[0.01191562,0.0005093279,0.0004641354,0.002239213,0.001239984,0.00405365,0.00166906,0.0008414994,0.005534496],"category_scores_gemma":[0.02466563,0.0008705889,0.000557791,0.002383243,0.001114718,0.004110763,0.004350985,0.0008962901,0.001798006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718301,"about_ca_system_score_gemma":0.002999068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003327184,"about_ca_topic_score_gemma":0.00407187,"domain_scores_codex":[0.9892147,0.005544886,0.001676677,0.00128509,0.001788912,0.0004898271],"domain_scores_gemma":[0.9494197,0.03018864,0.003127821,0.01053223,0.003499778,0.003231892],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.003687317,0.006108144,0.1764774,0.0006421249,0.0002853967,0.001734164,0.007802533,0.01703794,0.01342328,0.01251167,0.01691744,0.7433726],"study_design_scores_gemma":[0.004852452,0.0215348,0.2439332,0.001471366,0.00103996,0.007400005,0.01329206,0.257882,0.07422701,0.05429927,0.3188731,0.001194849],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8128495,0.000371449,0.155837,0.002110804,0.0001795928,0.00220115,0.001919105,0.01149379,0.0130377],"genre_scores_gemma":[0.7613425,0.0001778275,0.2299961,0.0005972481,0.0001407789,0.0007225217,0.002211491,0.0004140582,0.00439758],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01191562,"threshold_uncertainty_score":0.06301659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06746625544298382,"score_gpt":0.455969898780177,"score_spread":0.3885036433371931,"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."}}