{"id":"W2353803429","doi":"","title":"Clinical study of conditional Logistic regression and date mining on risk factors of nonsyndromic cleft lip and palate","year":2009,"lang":"en","type":"article","venue":"","topic":"Cleft Lip and Palate Research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Logistic regression; Stepwise regression; Medicine; Univariate; Receiver operating characteristic; Multivariate statistics; Family history; Regression analysis; Univariate analysis; Epidemiology; Risk factor; Multivariate analysis; Pediatrics; Statistics; Internal medicine; Mathematics","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":[0.009030793,0.000691706,0.0007093303,0.001799603,0.0007868546,0.001034853,0.001111094,0.0005420984,0.002568507],"category_scores_gemma":[0.03054806,0.0003849528,0.001460215,0.00151909,0.0004438681,0.0008883228,0.0006944673,0.0009313959,0.0003086098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004659982,"about_ca_system_score_gemma":0.001123805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005947214,"about_ca_topic_score_gemma":0.003282648,"domain_scores_codex":[0.9946448,0.003409671,0.0003958946,0.0008591078,0.0004532366,0.0002373614],"domain_scores_gemma":[0.9841261,0.01181399,0.001720805,0.0008043881,0.001038614,0.0004960883],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005681574,0.000125744,0.9753234,0.00006435817,0.0002423197,0.0006061125,0.0001566993,0.00232666,0.0001629858,0.0008178637,0.0006784925,0.01892712],"study_design_scores_gemma":[0.000159819,0.0007236094,0.5760297,0.0001124673,0.0008246094,0.004928306,0.0009809089,0.4083265,0.001203572,0.004351869,0.0022852,0.00007340802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9611318,0.001009442,0.03513819,0.0005880114,0.00006340937,0.0001443567,0.0008022307,0.0001467122,0.0009759289],"genre_scores_gemma":[0.9924675,0.0001597001,0.006413726,0.00003000339,0.00003177332,0.00005162305,0.0004728436,0.00001177202,0.0003610381],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009030793,"threshold_uncertainty_score":0.04775995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06423640978950071,"score_gpt":0.3888888898802049,"score_spread":0.3246524800907042,"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."}}