{"id":"W3187054465","doi":"","title":"Canadian case: Emerging benefits of electronic medical record use in community-based care","year":2013,"lang":"en","type":"article","venue":"Tehnika","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Maturity (psychological); Business; Health care; Electronic medical record; Electronic health record; Medical record; Health information technology; Knowledge management; Marketing; Family medicine; Medicine; Computer science; Psychology; Economics; Economic growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002607337,0.0002884026,0.0002890413,0.001392995,0.01895304,0.004564556,0.00170773,0.004405771,0.006130562],"category_scores_gemma":[0.01312392,0.0002224234,0.0004908515,0.005107491,0.003523917,0.001846428,0.002624286,0.004277479,0.0003720426],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05325191,"about_ca_system_score_gemma":0.1054562,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9734301,"about_ca_topic_score_gemma":0.9891592,"domain_scores_codex":[0.9935437,0.001119759,0.0001886287,0.0003484393,0.00303133,0.001768093],"domain_scores_gemma":[0.9918271,0.001927173,0.0006519872,0.0002816842,0.002998861,0.002313165],"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":[0.0002598219,0.0005508251,0.1311037,0.0006412789,0.00006975646,0.07553112,0.1492186,0.000926241,0.001563699,0.2694001,0.2076522,0.1630827],"study_design_scores_gemma":[0.0001086522,0.000154536,0.1054348,0.0007664197,0.0001270266,0.02906648,0.1860349,0.002757142,0.000910005,0.01222746,0.6621634,0.0002492566],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3073863,0.002909704,0.002641144,0.3247637,0.000839765,0.0003713323,0.001408318,0.00009060809,0.3595891],"genre_scores_gemma":[0.9229503,0.003873679,0.005003342,0.02883161,0.0003293214,0.00009619768,0.0002525859,0.00003937413,0.03862369],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05325191,"threshold_uncertainty_score":0.3863715,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06134551234861446,"score_gpt":0.3980961943503343,"score_spread":0.3367506820017198,"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."}}