{"id":"W4393043563","doi":"10.1186/s12874-024-02199-1","title":"Development of the multivariate administrative data cystectomy model and its impact on misclassification bias","year":2024,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Bladder and Urothelial Cancer Treatments","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University; Ottawa Hospital; University of Ottawa","funders":"","keywords":"Cystectomy; Medicine; Bladder cancer; Logistic regression; Multivariate analysis; Multivariate statistics; Covariate; Statistics; 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":[],"consensus_categories":[],"category_scores_codex":[0.05845952,0.001002447,0.001319975,0.001097045,0.0009854509,0.002723964,0.003271816,0.001169909,0.002158429],"category_scores_gemma":[0.1169944,0.0007971268,0.00229172,0.00128355,0.0008649629,0.001223878,0.002015705,0.002997772,0.0003783557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002717077,"about_ca_system_score_gemma":0.004995392,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02688122,"about_ca_topic_score_gemma":0.01139326,"domain_scores_codex":[0.9836261,0.01242886,0.0007314509,0.001678438,0.001098905,0.0004362007],"domain_scores_gemma":[0.8742631,0.1040586,0.007091945,0.006278856,0.007337629,0.0009697861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009902262,0.0002533334,0.3498953,0.0002124484,0.001145517,0.0004633744,0.0005937315,0.5616266,0.0003719274,0.02064925,0.004760139,0.05903816],"study_design_scores_gemma":[0.00005551995,0.00008426014,0.00877628,0.00005941313,0.000105055,0.00009895264,0.00004819679,0.9829915,0.0002248384,0.006588421,0.0009432941,0.00002421777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3817559,0.0008023669,0.6063655,0.004159559,0.0002445543,0.0008832705,0.002667618,0.0008288731,0.002292326],"genre_scores_gemma":[0.8790423,0.000228387,0.1168853,0.000446977,0.0001066709,0.0006711672,0.001389,0.0001006665,0.001129423],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.05845952,"threshold_uncertainty_score":0.3091672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.837076198824331,"score_gpt":0.637161082707123,"score_spread":0.199915116117208,"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."}}