{"id":"W4413551547","doi":"10.64628/aam.e4dx3nk6a","title":"Your electronic health data: Understanding the different records, systems and how they connect","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Health records; Electronic health record; Internet privacy; Electronic records; Data science; Computer science; Business; World Wide Web; Political science; Health care","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":[0.01009934,0.0004295457,0.000470844,0.002907336,0.002017746,0.01976546,0.001188169,0.004256256,0.00957292],"category_scores_gemma":[0.05052795,0.0007551659,0.0005415017,0.004989835,0.007141754,0.0433621,0.003548089,0.003739248,0.001979457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254129,"about_ca_system_score_gemma":0.00305467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006961504,"about_ca_topic_score_gemma":0.006826525,"domain_scores_codex":[0.9895935,0.007299539,0.0003706425,0.0007338364,0.001581927,0.000420501],"domain_scores_gemma":[0.9680714,0.02537381,0.001298258,0.001944053,0.002502226,0.0008102516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006308954,0.00007477671,0.009864816,0.0005098407,0.00006335012,0.0001995636,0.02232908,0.001104687,0.0008627626,0.7896528,0.03197469,0.1433007],"study_design_scores_gemma":[0.00001508012,0.00003318881,0.007418962,0.001190051,0.00006427091,0.0003040154,0.02899871,0.005425942,0.0007427315,0.8119262,0.1438193,0.00006153959],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.111264,0.02873885,0.3537301,0.3390594,0.002507139,0.0002510088,0.001682932,0.0008011665,0.1619654],"genre_scores_gemma":[0.7553665,0.02407611,0.1821088,0.01484237,0.001506219,0.0002288404,0.001093615,0.0007325051,0.02004505],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01976546,"threshold_uncertainty_score":0.05341101,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2955278785581752,"score_gpt":0.453275484229076,"score_spread":0.1577476056709008,"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."}}