{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00222806,0.000728116,0.0004701571,0.001091482,0.0001962492,0.0005613367,0.0004879266,0.0003983572,0.003798557],"category_scores_gemma":[0.005742055,0.0002032457,0.001115891,0.0005311865,0.0001556487,0.0003799892,0.0002743045,0.001220247,0.000852392],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002782946,"about_ca_system_score_gemma":0.0006688167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004212941,"about_ca_topic_score_gemma":0.003320283,"domain_scores_codex":[0.9990613,0.0005287574,0.00005547106,0.0001372388,0.000136655,0.00008058086],"domain_scores_gemma":[0.9957998,0.003018218,0.0004929103,0.0001736641,0.000261307,0.0002540774],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001658058,0.0002567654,0.9487295,0.00004744277,0.0008977075,0.0001422181,0.00004384878,0.006428818,0.002211106,0.0001425549,0.001725035,0.03771693],"study_design_scores_gemma":[0.0001231522,0.001489993,0.7305617,0.00003566222,0.0006649165,0.0006176686,0.0001674436,0.2613296,0.002245035,0.0004755147,0.002250302,0.00003903446],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9833401,0.0007021989,0.01245645,0.0004714345,0.0001129016,0.00006541478,0.001450604,0.0003201347,0.001080815],"genre_scores_gemma":[0.9955049,0.0001126897,0.002241203,0.00002222937,0.00004322327,0.00003770259,0.0007466745,0.00003599518,0.001255497],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004212941,"threshold_uncertainty_score":0.01270741,"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."}}