{"id":"W2262953076","doi":"","title":"Linking health databases for research.","year":2015,"lang":"fr","type":"article","venue":"PubMed","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"College of Family Physicians of Canada; Memorial University of Newfoundland; Queen's University","funders":"","keywords":"Database; Primary care; Computer science; Data science; Health care; Health data; Primary health care; Data collection; Health records; World Wide Web; Medicine; Family medicine; Environmental health; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.02367317,0.001731669,0.003761736,0.02484698,0.002146812,0.008236725,0.004791793,0.00402311,0.1851756],"category_scores_gemma":[0.1175403,0.001909339,0.002118323,0.04064824,0.0008951059,0.005295913,0.007133343,0.003056234,0.08937722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004959538,"about_ca_system_score_gemma":0.03264314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04333082,"about_ca_topic_score_gemma":0.03645853,"domain_scores_codex":[0.9768853,0.006090784,0.008981859,0.002451733,0.004577089,0.001013258],"domain_scores_gemma":[0.8670806,0.05168376,0.01082562,0.0294201,0.03347798,0.007511947],"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":[0.0002687222,0.00004868643,0.00156388,0.00769993,0.0002249965,0.00006829102,0.0002606866,0.000164648,0.0002564385,0.01224176,0.9087803,0.06842162],"study_design_scores_gemma":[0.0002514305,0.00002144589,0.004101039,0.004525475,0.0001903772,0.00008176426,0.0002184837,0.0002936814,0.0002866584,0.0114904,0.97847,0.00006931518],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.0004220037,0.005022885,0.006393231,0.003116729,0.0005879159,0.001415942,0.9412488,0.00685665,0.03493579],"genre_scores_gemma":[0.00505682,0.007744761,0.03374655,0.002289858,0.0005385777,0.004624431,0.9368557,0.002092655,0.007050531],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.1851756,"threshold_uncertainty_score":0.6194742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.8878852521407806,"score_gpt":0.6017022484799028,"score_spread":0.2861830036608778,"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."}}