{"id":"W3164975740","doi":"10.23889/ijpds.v6i1.1412","title":"Linking National Immigration Data to Provincial Repositories: The case of Canada","year":2021,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick; SickKids Foundation; University of Manitoba; University of Toronto; Manitoba Health","funders":"University of Manitoba","keywords":"Linkage (software); Immigration; Geography; Record linkage; Demography; Demographic economics; Health care; Refugee; Political science; Sociology; Economics; Population; Law","routes":{"ca_aff":true,"ca_fund":true,"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":[0.03251571,0.0004948268,0.000662187,0.007902434,0.009607197,0.00785903,0.004614574,0.001838421,0.002426473],"category_scores_gemma":[0.1226944,0.0007234059,0.001171623,0.03112516,0.002972933,0.00440639,0.008910466,0.002060759,0.0005251979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.06577487,"about_ca_system_score_gemma":0.1259914,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9876885,"about_ca_topic_score_gemma":0.9842438,"domain_scores_codex":[0.974511,0.006727931,0.002366973,0.002954929,0.009530826,0.003908324],"domain_scores_gemma":[0.8998623,0.02584659,0.009723986,0.02013811,0.04047862,0.003950338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003283569,0.0001139428,0.6767162,0.000868704,0.0004413479,0.003262213,0.01862645,0.01166127,0.0007659555,0.0638746,0.05669034,0.1666507],"study_design_scores_gemma":[0.0001393643,0.00008906073,0.5284591,0.003397254,0.0005504406,0.00274335,0.03262857,0.05121289,0.003376211,0.02224625,0.354762,0.0003954404],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6660664,0.00887376,0.07193034,0.07538754,0.0006758234,0.00229082,0.05682887,0.00347891,0.1144675],"genre_scores_gemma":[0.8481615,0.003045671,0.1046432,0.004401958,0.0001003418,0.0005404958,0.02777883,0.0006358729,0.01069225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06577487,"threshold_uncertainty_score":0.4772323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0942210322749539,"score_gpt":0.4336181262430007,"score_spread":0.3393970939680467,"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."}}