{"id":"W2416086449","doi":"10.13162/hro-ors.v4i2.2463","title":"A Portrait of Electronic Medical Record Use in Primary Care Across Canada","year":2016,"lang":"en","type":"article","venue":"Health Reform Observer - Observatoire des Réformes de Santé","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Portrait; Primary care; Electronic medical record; Medical record; Medicine; History; Genealogy; Family medicine; Art history; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.00176754,0.0002436056,0.0002452261,0.007654699,0.00737403,0.009305049,0.001482305,0.001080089,0.005460908],"category_scores_gemma":[0.006851142,0.000312323,0.0003329742,0.02187102,0.004794093,0.002184262,0.001662132,0.002296077,0.0004167952],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.08910109,"about_ca_system_score_gemma":0.1042829,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9921716,"about_ca_topic_score_gemma":0.99476,"domain_scores_codex":[0.996228,0.0004121864,0.0001506236,0.0002974402,0.002140198,0.0007717077],"domain_scores_gemma":[0.9897164,0.001997431,0.0006979073,0.0004430829,0.005419795,0.001725519],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001298683,0.00007277823,0.09247669,0.0007011317,0.00008815846,0.001414594,0.1471191,0.002440811,0.001167759,0.3149449,0.19825,0.2411942],"study_design_scores_gemma":[0.00001097295,0.00002836418,0.2250944,0.0009911633,0.00003234197,0.0003613135,0.05218815,0.001173323,0.0002432368,0.00546708,0.714321,0.00008866345],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1824923,0.05126408,0.007451932,0.2182589,0.001510552,0.0003241819,0.02251884,0.0004044058,0.5157748],"genre_scores_gemma":[0.9156526,0.03550968,0.004663054,0.006908047,0.0002753421,0.00009032999,0.002996652,0.0001928957,0.03371141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9108989,"threshold_uncertainty_score":0.6464767,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0495245948028713,"score_gpt":0.3785681274666623,"score_spread":0.329043532663791,"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."}}