{"id":"W6921069213","doi":"10.6084/m9.figshare.15178977","title":"Additional file 1 of The current and potential uses of Electronic Medical Record (EMR) data for primary health care performance measurement in the Canadian context: a qualitative analysis","year":2021,"lang":"en","type":"article","venue":"Open MIND","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Health Information; University of Toronto","funders":"","keywords":"Primary care; File format; Medical record; Data file; Qualitative analysis; Computer file; Electronic health record; File system","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004805755,0.0006038213,0.0007632192,0.005022246,0.00254992,0.001602704,0.001820971,0.0008042702,0.7657286],"category_scores_gemma":[0.04615458,0.00042167,0.0005826184,0.01046414,0.0004968378,0.001836989,0.001473713,0.001016683,0.05536419],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01318494,"about_ca_system_score_gemma":0.02463167,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5449845,"about_ca_topic_score_gemma":0.6384394,"domain_scores_codex":[0.9980518,0.0005101077,0.0002603311,0.0002024729,0.0006205741,0.0003547966],"domain_scores_gemma":[0.9379094,0.04100416,0.001791071,0.00172704,0.01615397,0.001414374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009636728,0.00006654737,0.002351552,0.002289153,0.00001036078,0.00006080138,0.001633876,0.0001981944,0.00005214782,0.001170187,0.9779081,0.01416266],"study_design_scores_gemma":[0.0009727489,0.0001405094,0.07443209,0.005890159,0.00007306325,0.0002327448,0.01507324,0.001218953,0.0004481411,0.004158471,0.8971573,0.000202513],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"other","genre_scores_codex":[0.0007249917,0.00001849265,0.0002647703,0.0003187471,0.00002498814,0.0005419771,0.9942173,0.00009619306,0.003792566],"genre_scores_gemma":[0.0329385,0.0004273197,0.01251626,0.001318626,0.0001028034,0.01621531,0.8886815,0.0005316013,0.0472681],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.986815,"threshold_uncertainty_score":0.9153903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1695149957812099,"score_gpt":0.4831404882061485,"score_spread":0.3136254924249386,"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."}}