{"id":"W4317895520","doi":"10.1370/afm.21.s1.4084","title":"Considerations for Creating a Restricted Data Environment with Complete Primary Care Electronic Medical Record Data","year":2023,"lang":"en","type":"article","venue":"Big Data","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Primary care; Electronic medical record; Medicine; Internet privacy; Family medicine","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003457119,0.0003074209,0.0006097476,0.0001728725,0.001752808,0.00003862066,0.003701197,0.0003217392,0.0002969933],"category_scores_gemma":[0.003986724,0.0002636064,0.00001894545,0.0004794151,0.0001084238,0.0004949173,0.005694691,0.001254288,0.0004991362],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007509852,"about_ca_system_score_gemma":0.0115314,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00297216,"about_ca_topic_score_gemma":0.02774026,"domain_scores_codex":[0.993242,0.001078311,0.001239489,0.001751419,0.000913015,0.001775719],"domain_scores_gemma":[0.9834807,0.005475087,0.0004854751,0.01002278,0.0001116806,0.0004242998],"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":[0.0002940191,0.0001292865,0.0105337,0.00314755,0.0003041141,0.00007485356,0.001110088,0.000006980318,0.0001643143,0.001096472,0.9062566,0.07688207],"study_design_scores_gemma":[0.002342216,0.0003007694,0.003454691,0.0007619039,0.0001166777,0.00002478379,0.001374271,0.02633264,7.892222e-7,0.0001407544,0.9648028,0.0003476936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0950074,0.01900842,0.1225218,0.1039188,0.01151667,0.06587967,0.5551695,0.006920123,0.02005753],"genre_scores_gemma":[0.1010075,0.005480837,0.02163928,0.005443769,0.005988222,0.001886065,0.8557412,0.0003857511,0.002427421],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.3005717,"threshold_uncertainty_score":0.9999816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4424338653699929,"score_gpt":0.4543737728094362,"score_spread":0.01193990743944329,"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."}}