{"id":"W2909244798","doi":"10.1503/cmaj.181647","title":"A national electronic health record for primary care","year":2019,"lang":"en","type":"editorial","venue":"Canadian Medical Association Journal","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Liberian dollar; Primary care; Health records; Health care; Health information; Electronic health record; Primary health care; Medicine; World Wide Web; Internet privacy; Business; Computer science; Family medicine; Political science; Finance; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":["research_integrity"],"category_scores_codex":[0.008010716,0.0002793751,0.0008425711,0.000404166,0.0003140915,0.0001204383,0.0002766805,0.001862929,0.001580193],"category_scores_gemma":[0.06981542,0.0002820159,0.0004102623,0.000220548,0.00002366569,0.000173229,0.00002366897,0.00468431,0.0002253879],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.03176511,"about_ca_system_score_gemma":0.226323,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004582398,"about_ca_topic_score_gemma":0.08931724,"domain_scores_codex":[0.9909511,0.000326847,0.001918641,0.0004128682,0.005351674,0.001038851],"domain_scores_gemma":[0.9851062,0.00530519,0.001755473,0.0001742906,0.005654099,0.00200479],"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":[0.000097339,0.00002777561,0.0004910334,0.0002649104,0.0002792625,0.00001925682,0.00009566353,8.949455e-7,2.712248e-7,0.00002848828,0.9324012,0.06629386],"study_design_scores_gemma":[0.004093151,0.0007053165,0.0004171418,0.000407131,0.0001515185,0.00006938241,0.0003378102,0.00004341484,1.402322e-7,0.000184735,0.9933671,0.0002231248],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0001967604,0.001429698,0.0004002207,0.103415,0.8890187,0.001527063,0.001478854,0.00003980893,0.002493872],"genre_scores_gemma":[0.0002095291,0.001662243,0.0008415111,0.04063594,0.945933,0.00004324395,0.00781061,0.00009263462,0.002771268],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.1945579,"threshold_uncertainty_score":0.9999632,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04423644858146107,"score_gpt":0.4285964445616621,"score_spread":0.384359995980201,"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."}}