{"id":"W2160237511","doi":"10.1093/hmg/ddt657","title":"Recurrent genomic alterations in sequential progressive leukoplakia and oral cancer: drivers of oral tumorigenesis?","year":2014,"lang":"en","type":"article","venue":"Human Molecular Genetics","topic":"Oral Health Pathology and Treatment","field":"Dentistry","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network; Toronto General Hospital; Ontario Institute for Cancer Research; McMaster University; Vancouver General Hospital","funders":"European Hematology Association","keywords":"Leukoplakia; Biology; Carcinogenesis; Comparative genomic hybridization; Cancer; Cancer research; Oral leukoplakia; Malignant transformation; Dysplasia; Malignancy; Gene duplication; Genetics; Gene; Pathology; Genome; Medicine","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":[0.0001196484,0.0001514359,0.0002355255,0.00009241759,0.0001108306,0.00001751781,0.0001008093,0.0000978277,0.000070944],"category_scores_gemma":[0.000006937752,0.0001577596,0.00004790643,0.00007709419,0.0001455465,0.00002430402,0.00006981877,0.0001189423,0.00001639127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008380534,"about_ca_system_score_gemma":0.00007304471,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001572666,"about_ca_topic_score_gemma":0.001558457,"domain_scores_codex":[0.9988185,0.0002071067,0.0003107973,0.0002868026,0.0001295587,0.0002472177],"domain_scores_gemma":[0.9994847,0.00001126492,0.0001413733,0.0002252363,0.00005442547,0.00008298004],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002671957,0.001033155,0.7850884,0.0004983606,0.0002859918,0.001769936,0.002443346,0.002608213,0.143089,0.01672402,0.0003777258,0.04581458],"study_design_scores_gemma":[0.003299303,0.0008603872,0.9527495,0.0001118824,0.000222777,0.0000818837,0.00007158746,0.001172006,0.03715507,0.002697505,0.001171373,0.0004067539],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996925,0.001980923,0.0002986035,0.0000333701,0.000267811,0.0003359419,0.00003232261,0.00001520695,0.0001108439],"genre_scores_gemma":[0.9977241,0.00008243284,0.001926074,0.000060825,0.00003413166,0.00005331582,0.00004949072,0.00001895174,0.00005064997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.167661,"threshold_uncertainty_score":0.6433251,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02978675074294392,"score_gpt":0.350541684463046,"score_spread":0.3207549337201021,"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."}}