{"id":"W4328051264","doi":"10.1016/j.giec.2022.11.004","title":"Electronic Medical Records","year":2023,"lang":"en","type":"review","venue":"Gastrointestinal Endoscopy Clinics of North America","topic":"Colorectal Cancer Screening and Detection","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; The Wilson Centre; University of Toronto","funders":"Ontario Ministry of Research, Innovation and Science","keywords":"Benchmarking; Medicine; Interoperability; Quality (philosophy); Electronic medical record; Quality management; Medical record; Endoscopy; Medical emergency; Medical physics; Operations management; Surgery; Management system; Computer science; World Wide Web; Engineering; Business","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002205336,0.001354712,0.003266037,0.03169195,0.000728946,0.002057937,0.001698916,0.001281979,0.1594465],"category_scores_gemma":[0.01852284,0.0007873403,0.001815099,0.02966594,0.0005239355,0.002868844,0.001504356,0.00111823,0.06248527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001523264,"about_ca_system_score_gemma":0.009740699,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0105722,"about_ca_topic_score_gemma":0.01361314,"domain_scores_codex":[0.9945015,0.0008545991,0.002889573,0.0006796579,0.0008619139,0.0002127708],"domain_scores_gemma":[0.9847447,0.003622251,0.005904141,0.0007958874,0.004353007,0.0005799668],"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":[0.0003434432,0.0001301381,0.005316806,0.1321865,0.0007282489,0.0002241065,0.000251441,0.0001296048,0.0004127296,0.001896087,0.5871481,0.2712329],"study_design_scores_gemma":[0.0006893573,0.0001413188,0.01988736,0.09244473,0.001183209,0.000521859,0.000306021,0.0001090828,0.0002694937,0.0008505115,0.8835328,0.00006436007],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.003763836,0.3131002,0.001618076,0.003530062,0.001822178,0.004331221,0.5752777,0.0007909038,0.09576585],"genre_scores_gemma":[0.02211699,0.4969414,0.008154413,0.00621241,0.001861156,0.006251143,0.3947147,0.0002034655,0.06354444],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.1594465,"threshold_uncertainty_score":0.5334017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05123806198427466,"score_gpt":0.3791044974871909,"score_spread":0.3278664355029163,"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."}}