{"id":"W2606005405","doi":"10.23889/ijpds.v1i1.101","title":"Privacy-Preserving Record Linkage: An international collaboration between Canada, Australia and Wales","year":2017,"lang":"en","type":"article","venue":"International Journal for Population Data Science","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences","funders":"","keywords":"Record linkage; Linkage (software); Bloom filter; Computer science; Quality (philosophy); General partnership; Probabilistic logic; Data quality; Scale (ratio); Data mining; Data science; Business; Environmental health; Medicine; Geography; Marketing; Artificial intelligence","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":[0.08298914,0.0009026298,0.001013963,0.004972667,0.01358111,0.007363682,0.004316772,0.002343853,0.004346932],"category_scores_gemma":[0.05522823,0.0007990211,0.0009054396,0.007709427,0.004605034,0.004592133,0.01044728,0.002706543,0.0009340406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05517066,"about_ca_system_score_gemma":0.3391406,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8834139,"about_ca_topic_score_gemma":0.8653767,"domain_scores_codex":[0.9349635,0.02272171,0.002546698,0.005503168,0.02790085,0.006364108],"domain_scores_gemma":[0.8141057,0.01460907,0.003729307,0.01048878,0.1322453,0.0248218],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008060246,0.001443301,0.03697006,0.001377708,0.0003206408,0.00169177,0.0266084,0.008246195,0.01450417,0.03637109,0.1373658,0.7342948],"study_design_scores_gemma":[0.0002948898,0.001427819,0.06042824,0.001425159,0.0001722103,0.0009710706,0.03200498,0.0164224,0.01546835,0.008514976,0.862241,0.0006289678],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3677464,0.02376386,0.1822899,0.24068,0.003452217,0.01365355,0.005348425,0.00596299,0.1571027],"genre_scores_gemma":[0.5554758,0.01094333,0.3041392,0.01480729,0.0002952231,0.002053781,0.006171364,0.0009848742,0.1051291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1165861,"threshold_uncertainty_score":0.4388938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4574532106082225,"score_gpt":0.5592249468859519,"score_spread":0.1017717362777294,"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."}}