{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005409049,0.0001715791,0.0004221724,0.001336392,0.00008981009,0.0002272096,0.001902196,0.0001390492,0.0002557885],"category_scores_gemma":[0.001959218,0.0001246706,0.000198814,0.0004921084,0.0001208887,0.002110174,0.0002985102,0.001073441,0.0001074398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003367334,"about_ca_system_score_gemma":0.0004181083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002739838,"about_ca_topic_score_gemma":0.01003473,"domain_scores_codex":[0.9946568,0.0004470921,0.002016356,0.0003125813,0.002260995,0.000306159],"domain_scores_gemma":[0.9946729,0.0007360461,0.00133099,0.0003731028,0.002647727,0.0002392266],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001011569,0.0004808132,0.06908372,0.00005629821,0.0001722782,0.001361519,0.004580169,0.00001706513,0.0002929822,0.1430614,0.002500637,0.7773815],"study_design_scores_gemma":[0.00357323,0.00138634,0.4489692,0.0005932699,0.00001682283,0.0007560139,0.01911405,0.0004128513,0.0008328885,0.1838401,0.3398072,0.000698068],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8524264,0.0002994993,0.0006625613,0.1313145,0.008129831,0.000233422,0.0002401506,0.00002186952,0.006671877],"genre_scores_gemma":[0.9913865,0.000999028,0.002121679,0.004705441,0.0006462964,0.000005012659,0.00002039731,0.0000117851,0.0001038125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7766835,"threshold_uncertainty_score":0.5599613,"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."}}