{"id":"W2142074194","doi":"10.1146/annurev-publhealth-031210-100700","title":"Administrative Record Linkage as a Tool for Public Health Research","year":2011,"lang":"en","type":"review","venue":"Annual Review of Public Health","topic":"Health disparities and outcomes","field":"Social Sciences","cited_by":333,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"","keywords":"Socioeconomic status; Public health; Confidentiality; Residence; Record linkage; Environmental health; Data collection; Linkage (software); Social determinants of health; Population; Business; Medicine; Political science; Nursing; Sociology","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":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.09971859,0.0006610565,0.005794935,0.0006995754,0.001960567,0.0002300082,0.002011645,0.0006578864,0.001174237],"category_scores_gemma":[0.03596122,0.0005419219,0.001321578,0.002795923,0.0007908232,0.0007682899,0.0002786999,0.001676718,0.000265894],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002301463,"about_ca_system_score_gemma":0.1308219,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02471299,"about_ca_topic_score_gemma":0.006760479,"domain_scores_codex":[0.9685568,0.0184406,0.004877839,0.001270407,0.00196431,0.004890022],"domain_scores_gemma":[0.9838967,0.005396593,0.003149143,0.001224247,0.002784481,0.003548881],"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":[8.578833e-7,0.0001145791,0.000004794914,0.2492259,0.00004005008,9.184747e-7,0.003734136,3.992976e-11,1.58256e-11,0.1133316,0.08950133,0.5440459],"study_design_scores_gemma":[0.0001204068,0.0008262417,0.00001404157,0.1012307,0.0000268057,0.000004853877,0.004045139,3.382623e-8,1.007221e-9,0.0003864414,0.8929986,0.0003467319],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[3.266368e-7,0.8561082,0.00009341394,0.1198224,0.0008127015,0.009663481,0.00101894,0.0000886656,0.01239192],"genre_scores_gemma":[0.000001717532,0.9645507,0.001113842,0.02603168,0.001047488,0.001881538,0.0004377836,0.00009889026,0.004836399],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8034973,"threshold_uncertainty_score":0.9997388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6492955305509095,"score_gpt":0.6051086148149465,"score_spread":0.04418691573596301,"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."}}