{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.02039886,0.0002778484,0.0009503143,0.0003455939,0.002399405,0.00007232071,0.002134352,0.000251353,0.0001782554],"category_scores_gemma":[0.0007963848,0.0002489411,0.0000602261,0.001073752,0.00007736446,0.0002458739,0.001630604,0.001741927,0.0003216055],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001926477,"about_ca_system_score_gemma":0.01088625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008728099,"about_ca_topic_score_gemma":0.007764347,"domain_scores_codex":[0.9896898,0.004563944,0.001142077,0.001236752,0.0007082704,0.002659212],"domain_scores_gemma":[0.9942029,0.002377995,0.0004033501,0.00218566,0.0003574926,0.0004726074],"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":[0.0003965328,0.00003369433,0.002355374,0.02561061,0.00003125336,0.000005123548,0.0006125078,0.000002987969,0.000007748305,0.0002189983,0.9483127,0.02241244],"study_design_scores_gemma":[0.001817491,0.001233479,0.003029482,0.009266176,0.0000337246,0.000002123858,0.001629081,0.0005987873,9.624761e-7,0.0001820919,0.9819437,0.0002629228],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.02721522,0.3930044,0.000402796,0.3375108,0.004433855,0.1452519,0.006758843,0.001541489,0.08388063],"genre_scores_gemma":[0.1168277,0.5034361,0.004464549,0.183478,0.006515693,0.0315892,0.04100994,0.001401032,0.1112778],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.1540329,"threshold_uncertainty_score":0.9999963,"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."}}