{"id":"W4322757339","doi":"10.2196/43097","title":"Monitoring the Implementation of Tobacco Cessation Support Tools: Using Novel Electronic Health Record Activity Metrics","year":2023,"lang":"en","type":"article","venue":"JMIR Medical Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Cancer Institute; National Heart, Lung, and Blood Institute","keywords":"Workflow; Smoking cessation; Clinical decision support system; Medicine; Referral; Medical emergency; Quality management; Electronic health record; Health information technology; Health care; Decision support system; Computer science; Family medicine; Database; Data mining; Operations management","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01017638,0.0007452005,0.0004881318,0.003747939,0.0003555583,0.002197918,0.0008464694,0.0006112477,0.0005546749],"category_scores_gemma":[0.03956177,0.0002436553,0.000485797,0.003257236,0.0002552859,0.001952208,0.001043192,0.0007586469,0.0002131166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001154358,"about_ca_system_score_gemma":0.001936955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004573534,"about_ca_topic_score_gemma":0.008648424,"domain_scores_codex":[0.9917714,0.003329506,0.001361384,0.001035525,0.002249481,0.0002525818],"domain_scores_gemma":[0.9565684,0.0169772,0.01476574,0.00224836,0.008291966,0.001148397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002162843,0.0006011978,0.8630545,0.0003457858,0.0002755953,0.00003627575,0.0006571406,0.003217082,0.001583337,0.0003549212,0.001685689,0.1279723],"study_design_scores_gemma":[0.000105433,0.002061308,0.8864948,0.0002323414,0.0003279932,0.0002405465,0.001178731,0.09389986,0.008201602,0.001012488,0.006147444,0.00009756352],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9271313,0.0008226944,0.05802165,0.00139661,0.00008666398,0.001374729,0.005845843,0.000931445,0.004389126],"genre_scores_gemma":[0.9189112,0.0003131718,0.0764944,0.0001745214,0.00006259107,0.0007261535,0.002922999,0.00003781298,0.0003571759],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01017638,"threshold_uncertainty_score":0.05381846,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.163443927867316,"score_gpt":0.5191020187407736,"score_spread":0.3556580908734575,"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."}}