{"id":"W4383822298","doi":"10.3399/bjgpo.2023.0057","title":"UK research data resources based on primary care electronic health records: review and summary for potential users","year":2023,"lang":"en","type":"article","venue":"BJGP Open","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute of Population and Public Health","funders":"National Institute for Health and Care Research; Royal College of General Practitioners","keywords":"Resource (disambiguation); Scope (computer science); Data access; Population; Observational study; Health care; Data science; Business; Computer science; Knowledge management; Medicine; Database; Political science; Environmental health","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":[0.08976233,0.001570231,0.00583287,0.03460391,0.001598126,0.009384049,0.004126002,0.004174982,0.01936215],"category_scores_gemma":[0.3819702,0.002076162,0.00457901,0.03803632,0.002467485,0.0130762,0.007881094,0.003500126,0.003686212],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0109928,"about_ca_system_score_gemma":0.04134638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.010746,"about_ca_topic_score_gemma":0.02447927,"domain_scores_codex":[0.8758414,0.05566128,0.04637203,0.003642094,0.0162958,0.00218744],"domain_scores_gemma":[0.5032461,0.3773032,0.05107254,0.0101121,0.05472913,0.003536907],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0002085895,0.00002629191,0.001168802,0.5991593,0.0008236613,0.0002207121,0.00264681,0.0001101562,0.0001460012,0.002323883,0.04881883,0.3443469],"study_design_scores_gemma":[0.00006273334,0.00006042196,0.001455494,0.870478,0.0009836701,0.0002537342,0.001194812,0.00003416371,0.00008429995,0.0007693407,0.124587,0.0000363923],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009388102,0.9692199,0.00197311,0.014735,0.001159322,0.002483082,0.005600257,0.0001033113,0.003787232],"genre_scores_gemma":[0.01001528,0.9684664,0.006234338,0.005163469,0.0004424257,0.006205808,0.002741501,0.00006579296,0.0006649439],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.08976233,"threshold_uncertainty_score":0.4747142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.304230015008812,"score_gpt":0.5612881642039473,"score_spread":0.2570581491951353,"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."}}