{"id":"W2342126998","doi":"","title":"eDoc evaluation - at eighteen months into the challenge.","year":2009,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"CARE Canada","funders":"","keywords":"Documentation; Audit; Data collection; Plan (archaeology); Chart; Health care; Focus group; Electronic health record; Computer science; Process management; Medical education; Medicine; Nursing; Business; Political science; Sociology","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":[0.09284987,0.0006715946,0.0008001971,0.002394841,0.00441278,0.00879867,0.00232473,0.001980587,0.01109407],"category_scores_gemma":[0.09850838,0.0004178103,0.0007983107,0.001489603,0.001442538,0.00417651,0.007464176,0.002931645,0.004113249],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009998384,"about_ca_system_score_gemma":0.02148588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008354893,"about_ca_topic_score_gemma":0.02266741,"domain_scores_codex":[0.9479966,0.02356975,0.004044283,0.00177177,0.01593137,0.006686203],"domain_scores_gemma":[0.8251964,0.009929605,0.004261057,0.007323318,0.1210998,0.03218972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00244603,0.004869548,0.02509279,0.001107051,0.00009187098,0.0006900957,0.009243916,0.0004326312,0.001649803,0.00585139,0.1695876,0.7789372],"study_design_scores_gemma":[0.0007858591,0.01014142,0.100166,0.003219821,0.0001614738,0.0008089296,0.03512039,0.001194459,0.009313419,0.005866065,0.8330005,0.000221537],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4445022,0.02069095,0.05431826,0.198187,0.03317748,0.04403331,0.01061872,0.002916499,0.1915556],"genre_scores_gemma":[0.7530372,0.003075802,0.05965527,0.0243375,0.002802541,0.01466878,0.006627977,0.0007606993,0.1350344],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09284987,"threshold_uncertainty_score":0.4910429,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1035773517007982,"score_gpt":0.4171403666938945,"score_spread":0.3135630149930962,"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."}}