{"id":"W4389434268","doi":"10.21203/rs.3.rs-3673205/v1","title":"The Administrative Data Cystectomy Model and its Impact on Misclassification Bias","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Medical Coding and Health Information","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital","funders":"","keywords":"Cystectomy; Logistic regression; Medicine; Bladder cancer; Covariate; Statistics; Multivariate analysis; Urinary diversion; Urology; Internal medicine; Mathematics; Cancer","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1263015,0.0009304934,0.001396102,0.001480425,0.001178262,0.003378176,0.002758592,0.001464119,0.002002716],"category_scores_gemma":[0.3140725,0.0006794501,0.002407228,0.002028237,0.001664851,0.001619827,0.001953854,0.002292481,0.0003564364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002553979,"about_ca_system_score_gemma":0.003156421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02191425,"about_ca_topic_score_gemma":0.007779885,"domain_scores_codex":[0.9206088,0.06558398,0.003109896,0.005856803,0.003591097,0.001249508],"domain_scores_gemma":[0.5339925,0.409328,0.02416935,0.02149881,0.009571451,0.00143997],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001370365,0.0001794113,0.8765117,0.0002565868,0.002820861,0.0002406535,0.0007137346,0.0742817,0.0001430584,0.008817507,0.004389985,0.03027443],"study_design_scores_gemma":[0.0003535147,0.0005136021,0.2166149,0.0007464472,0.001725611,0.0007891569,0.0007441345,0.737852,0.001375738,0.03393547,0.005190659,0.0001588166],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7716824,0.004281071,0.2036337,0.01001142,0.0007098627,0.0006452617,0.003511983,0.0006788454,0.004845252],"genre_scores_gemma":[0.9878601,0.0001637372,0.009953981,0.0006158541,0.0001070955,0.000143858,0.0006568998,0.00004019092,0.0004583693],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8736985,"threshold_uncertainty_score":0.6679544,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9082925531825733,"score_gpt":0.6946964264592298,"score_spread":0.2135961267233435,"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."}}