{"id":"W2910279869","doi":"10.1007/bf03403680","title":"Linking Survey Data with Administrative Health Information","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Public Health","topic":"Ethics in Clinical Research","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; University of British Columbia; Community Based Research Centre","funders":"Canadian Institutes of Health Research; Hospital for Sick Children; Killam Trusts; Sick Kids Foundation","keywords":"Logistic regression; Linkage (software); Sample (material); Family medicine; Data collection; Medicine; Informed consent; Record linkage; Population; Health care; Survey data collection; Medical record; Psychology; Environmental health; Alternative medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.04998518,0.0009509035,0.001457561,0.02160116,0.001198823,0.006406303,0.002941733,0.002278341,0.009323224],"category_scores_gemma":[0.3145274,0.001878695,0.00160301,0.05161598,0.0007220787,0.003164613,0.004658918,0.002157077,0.004547046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004712434,"about_ca_system_score_gemma":0.01218031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07613813,"about_ca_topic_score_gemma":0.05106165,"domain_scores_codex":[0.9071873,0.05687117,0.01329897,0.005812923,0.01474659,0.002083063],"domain_scores_gemma":[0.6171318,0.2497711,0.04474576,0.05563079,0.03054274,0.00217787],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004584486,0.000627309,0.6194425,0.002762295,0.00271282,0.0004261994,0.00251668,0.01186893,0.0008555878,0.02140998,0.1155634,0.2213559],"study_design_scores_gemma":[0.0004095647,0.0002959084,0.5401362,0.002468364,0.002295014,0.0005594227,0.004175148,0.06039908,0.006582995,0.06545954,0.3167973,0.0004213715],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.1564318,0.005567192,0.2704443,0.01836944,0.001979165,0.003589919,0.5025575,0.003137892,0.03792285],"genre_scores_gemma":[0.4225102,0.003318439,0.1802395,0.004167058,0.0008136,0.004681781,0.3775455,0.0004109629,0.006312896],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07613813,"threshold_uncertainty_score":0.2643501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7790184894545156,"score_gpt":0.608123856400825,"score_spread":0.1708946330536906,"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."}}