{"id":"W2004002671","doi":"10.4018/jhdri.2010070104","title":"Record Linkage in Healthcare","year":2010,"lang":"en","type":"article","venue":"International Journal of Healthcare Delivery Reform Initiatives","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brock University","funders":"","keywords":"Record linkage; Confidentiality; Linkage (software); Computer science; Medical record; Health care; Probabilistic logic; Data science; Key (lock); Computer security; Medicine; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.08438139,0.0008316589,0.002018357,0.01235733,0.003584869,0.01419457,0.004401298,0.006178594,0.01146522],"category_scores_gemma":[0.1886912,0.001059233,0.001593911,0.02918386,0.004420502,0.01460541,0.0098441,0.003904647,0.005610986],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005031285,"about_ca_system_score_gemma":0.01290335,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003810537,"about_ca_topic_score_gemma":0.001742849,"domain_scores_codex":[0.8575669,0.1041624,0.009889086,0.009030417,0.01802558,0.001325548],"domain_scores_gemma":[0.8435637,0.1068722,0.01156326,0.02146583,0.01508576,0.001449158],"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":[0.0001368839,0.0001039447,0.005585179,0.002766043,0.0003889607,0.0002950806,0.002250705,0.004110893,0.0002998761,0.3264257,0.04618419,0.6114525],"study_design_scores_gemma":[0.00009903956,0.0002091384,0.004628153,0.003033148,0.0002559079,0.00159426,0.002468162,0.01495774,0.001921888,0.4731906,0.497456,0.0001859707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007476294,0.06870408,0.7993998,0.04660322,0.003944448,0.001278108,0.00271021,0.002064888,0.06781898],"genre_scores_gemma":[0.1488392,0.04997687,0.7641869,0.009651238,0.003296199,0.002108882,0.004577741,0.0003986364,0.01696441],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08438139,"threshold_uncertainty_score":0.4462568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1238206260771705,"score_gpt":0.4494109036048893,"score_spread":0.3255902775277188,"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."}}