{"id":"W2097531950","doi":"","title":"You and your EMR: the research perspective: part 2. How structure matters.","year":2011,"lang":"en","type":"article","venue":"PubMed","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Electronic medical record; Computer science; Perspective (graphical); Process (computing); Data science; Test (biology); Order (exchange); World Wide Web; Internet privacy; Artificial intelligence; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.04266174,0.0006796456,0.0006218419,0.00197569,0.008016513,0.01731412,0.002605722,0.01332884,0.01491623],"category_scores_gemma":[0.07578885,0.0005728094,0.0004857282,0.002249628,0.02398243,0.0279478,0.004953835,0.01422559,0.002924778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01008714,"about_ca_system_score_gemma":0.01625328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01460025,"about_ca_topic_score_gemma":0.02154237,"domain_scores_codex":[0.9656911,0.02590501,0.0006128457,0.001562152,0.004462317,0.001766492],"domain_scores_gemma":[0.8738768,0.09878768,0.005557485,0.002822702,0.01267747,0.006277902],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007521671,0.0002365008,0.007805634,0.00100308,0.00005462168,0.001007308,0.0701327,0.000243948,0.0007830581,0.3616702,0.4545808,0.102407],"study_design_scores_gemma":[0.00003675459,0.0002686799,0.006816792,0.002584961,0.00005738426,0.001999734,0.1982367,0.0004819112,0.0008888166,0.1955558,0.5929603,0.0001120944],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.003342512,0.008673691,0.002106014,0.9685597,0.001211953,0.0000164377,0.00003956504,0.00002014629,0.01602999],"genre_scores_gemma":[0.2703479,0.0325704,0.0049134,0.6649244,0.006922175,0.0001141045,0.00009095461,0.0001323648,0.01998423],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.04266174,"threshold_uncertainty_score":0.2256196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3237759807465607,"score_gpt":0.4537458055063361,"score_spread":0.1299698247597754,"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."}}