{"id":"W4386785088","doi":"10.1158/1557-3265.aacrahns23-po-011","title":"Abstract PO-011: Analysis of nuclear receptor expression in head and neck cancer","year":2023,"lang":"en","type":"article","venue":"Clinical Cancer Research","topic":"Peroxisome Proliferator-Activated Receptors","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Nuclear receptor; Retinoic acid receptor; Thyroid hormone receptor; Receptor; Biology; Calcitriol receptor; Peroxisome proliferator-activated receptor gamma; Retinoic acid receptor beta; Cancer research; Head and neck squamous-cell carcinoma; Peroxisome proliferator-activated receptor; Internal medicine; Retinoic acid; Retinoid X receptor; Endocrinology; Cancer; Head and neck cancer; Transcription factor; Gene; Medicine; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000462351,0.000169273,0.0002814799,0.0009746806,0.0003131623,0.0005933401,0.0002783702,0.0002550424,0.004331191],"category_scores_gemma":[0.0007338459,0.0001072752,0.0003384689,0.001284254,0.0001884121,0.0001305815,0.0003595659,0.0002742196,0.001246935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004303246,"about_ca_system_score_gemma":0.0005795581,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003920425,"about_ca_topic_score_gemma":0.005420441,"domain_scores_codex":[0.9996244,0.00004649779,0.00002982845,0.0001136768,0.0001193773,0.00006623616],"domain_scores_gemma":[0.9996568,0.00008837196,0.00007794233,0.00004272957,0.00009089459,0.00004328366],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0030383,0.0001481512,0.6676102,0.001471579,0.0004672588,0.0004404716,0.0002915776,0.001464746,0.2566572,0.000362278,0.01307632,0.05497189],"study_design_scores_gemma":[0.00006093581,0.0003366564,0.9414185,0.0000568601,0.0002548395,0.0009504343,0.000355053,0.002414285,0.03224953,0.000187598,0.02169695,0.00001830866],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9483013,0.002630795,0.002366353,0.0002035639,0.00005233092,0.0001346274,0.04163866,0.0002979124,0.004374448],"genre_scores_gemma":[0.9435695,0.0007052085,0.003489812,0.0001868157,0.00002706779,0.0002458005,0.04865403,0.000100962,0.003020745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004331191,"threshold_uncertainty_score":0.01448929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.136762165708987,"score_gpt":0.4933823949709415,"score_spread":0.3566202292619545,"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."}}