{"id":"W2005159922","doi":"10.1016/j.jclinepi.2011.08.002","title":"Administrative database research has unique characteristics that can risk biased results","year":2011,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":235,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Observational study; Database; Computer science; MEDLINE; Health care; Medical prescription; Data science; Medicine; Data mining; Nursing; Political science","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","research_integrity"],"consensus_categories":["metaresearch","research_integrity"],"category_scores_codex":[0.3706848,0.0005047735,0.0119937,0.0006653999,0.001100745,0.00001180597,0.001274529,0.003538831,0.0006433549],"category_scores_gemma":[0.675068,0.0003041395,0.001465123,0.0004193241,0.001096483,0.0001509043,0.0003461154,0.02712127,0.0006542752],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355711,"about_ca_system_score_gemma":0.01779042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004242925,"about_ca_topic_score_gemma":0.0001804128,"domain_scores_codex":[0.8311744,0.1394637,0.02678469,0.0005556643,0.0006775964,0.001343938],"domain_scores_gemma":[0.5430184,0.4051441,0.04590332,0.001404456,0.002249218,0.002280554],"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":[0.001058859,0.0001826942,0.003839236,0.01434188,0.0002596944,0.00008840746,0.0006511527,8.420653e-8,2.128538e-9,0.002971765,0.2358226,0.7407836],"study_design_scores_gemma":[0.001105939,0.001555861,0.002977665,0.03037403,0.0003704326,0.00004687908,0.0001802109,0.00003129755,1.120157e-8,0.001596237,0.9615468,0.0002145854],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001543408,0.9594496,0.002580039,0.01343605,0.01084158,0.002844157,0.00348707,0.00005399598,0.007153201],"genre_scores_gemma":[0.0001406102,0.9861513,0.003441185,0.003291104,0.005488936,0.00006221623,0.0005905774,0.00004769896,0.0007863054],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.740569,"threshold_uncertainty_score":0.9999411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.978490436321102,"score_gpt":0.764329112763572,"score_spread":0.21416132355753,"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."}}