{"id":"W2574473641","doi":"","title":"Multivariate regression analysis to predict progression of oral premalignant lesions","year":2007,"lang":"en","type":"article","venue":"Cancer Epidemiology and Prevention Biomarkers","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"OPLS; Medicine; Dysplasia; Carcinoma in situ; Cancer; Pathology; Histopathology; Hyperplasia; Epithelial dysplasia; Oral mucosa; Multivariate analysis; Internal medicine; Oncology","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":[],"consensus_categories":[],"category_scores_codex":[0.003975855,0.0001921694,0.0006180091,0.0003253571,0.0002139065,0.000002367537,0.0001041373,0.0003535924,0.0002481794],"category_scores_gemma":[0.0003311225,0.0001382358,0.0002137845,0.0005081453,0.0001972592,0.00007472956,0.0000885798,0.0001396681,0.0000181934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006751918,"about_ca_system_score_gemma":0.00005272125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003366733,"about_ca_topic_score_gemma":0.0007235681,"domain_scores_codex":[0.997181,0.000955857,0.0008232257,0.0005044915,0.0001023544,0.0004330932],"domain_scores_gemma":[0.9982834,0.0005977023,0.0004854788,0.0002902355,0.00008206689,0.0002611247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001283504,0.0001403172,0.8721514,0.000100945,0.001068533,0.00003574814,0.0001209695,0.00003544051,0.001081534,0.000457807,0.001692234,0.1218316],"study_design_scores_gemma":[0.0008435959,0.0003534999,0.9926778,0.0002779889,0.0007737219,0.00001285586,0.00005916781,0.0001854156,0.001554898,0.001659634,0.001465361,0.0001360497],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9618163,0.005233609,0.02983301,0.001083471,0.0008814609,0.0007639498,0.00009606681,0.00006560979,0.0002265967],"genre_scores_gemma":[0.9858702,0.0002825994,0.01266894,0.0002174101,0.00004117474,0.00009284627,0.00009317194,0.00001065175,0.0007230124],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1216955,"threshold_uncertainty_score":0.5637093,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09667384409462403,"score_gpt":0.4759433769513747,"score_spread":0.3792695328567506,"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."}}