{"id":"W3109317029","doi":"10.1158/1538-7755.disp20-pr11","title":"Abstract PR11: Multi-omic disparities in head and neck squamous cell carcinomas in patients of different racio-ethnic backgrounds","year":2020,"lang":"en","type":"article","venue":"Cancer Epidemiology Biomarkers & Prevention","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Medicine; Oncology; Head and neck squamous-cell carcinoma; Cohort; Head and neck cancer; Internal medicine; Ethnic group; Health equity; Cancer; Demography; Pathology; Public health","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":[0.0008664015,0.0002039716,0.000324749,0.0008806352,0.0004835021,0.0007253561,0.0003446573,0.0002835928,0.005077348],"category_scores_gemma":[0.002077101,0.00008803279,0.0004979261,0.001268873,0.0002648853,0.0003328095,0.0007394193,0.0003347225,0.0004390853],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002264056,"about_ca_system_score_gemma":0.0003364965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004629334,"about_ca_topic_score_gemma":0.004558288,"domain_scores_codex":[0.9993522,0.0001381043,0.00007206235,0.000204393,0.0001099136,0.0001233042],"domain_scores_gemma":[0.9987568,0.0003142549,0.000501155,0.0001498235,0.0001757536,0.0001022542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002987546,0.00002370401,0.9928007,0.00003444767,0.0001678446,0.00006980522,0.0001083824,0.00005638198,0.001580158,0.00005232479,0.0003487502,0.004458694],"study_design_scores_gemma":[0.000009298968,0.00006770806,0.9976124,0.000010269,0.0001120829,0.000306472,0.0002992487,0.0002736709,0.0005774447,0.00007212374,0.0006555031,0.000003914042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965689,0.0002511416,0.0002465414,0.0001308573,0.000008526196,0.00001134787,0.001990501,0.000009239895,0.0007829102],"genre_scores_gemma":[0.9987119,0.00004849244,0.0001183666,0.0000338557,0.00001078691,0.000008900715,0.0008641506,0.000004653119,0.0001987255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005077348,"threshold_uncertainty_score":0.01698548,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.093976705928899,"score_gpt":0.3664213095105554,"score_spread":0.2724446035816564,"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."}}