{"id":"W2135791523","doi":"10.14236/jhi.v18i1.751","title":"Implementation of an electronic medical record in family practice:a case study","year":2010,"lang":"en","type":"article","venue":"Journal of Innovation in Health Informatics","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Canadian Institutes of Health Research","keywords":"Champion; Context (archaeology); Pace; Electronic medical record; Best practice; Health care; Medical record; Medicine; Set (abstract data type); SAFER; Knowledge management; Medical education; Computer science; Medical emergency; Management; Political science; Computer security","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.04910594,0.0001600857,0.0006604925,0.001722764,0.0001947468,0.00001029704,0.0002754044,0.0002823532,0.0001294982],"category_scores_gemma":[0.004399967,0.0001436559,0.00002526566,0.002591585,0.00002831954,0.001305444,0.00004255975,0.00415397,0.00000676816],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001264306,"about_ca_system_score_gemma":0.0178424,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.0129354,"about_ca_topic_score_gemma":0.05399025,"domain_scores_codex":[0.9804392,0.001572263,0.01593447,0.00009945108,0.001092277,0.0008622768],"domain_scores_gemma":[0.9848617,0.001127141,0.01153357,0.0002975838,0.001970408,0.0002095767],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004335958,0.001424795,0.6458054,0.003339727,0.00005517256,0.0002975786,0.1278927,0.00005912125,0.00006615658,0.009554779,0.001503536,0.2095675],"study_design_scores_gemma":[0.01299283,0.008840323,0.05162536,0.001109797,0.00001572715,0.003258862,0.8628849,0.004926971,0.00001619281,0.0007054506,0.05330123,0.0003224104],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99234,0.0000361466,0.001196223,0.002872326,0.001437901,0.001875326,0.000003483876,0.00001220012,0.000226384],"genre_scores_gemma":[0.9895753,0.0001319249,0.006461673,0.003437369,0.0002939282,0.00006468156,0.000007726899,0.00002019214,0.000007244054],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7349921,"threshold_uncertainty_score":0.9981435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06793330222285957,"score_gpt":0.541218957546591,"score_spread":0.4732856553237315,"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."}}