{"id":"W2011806679","doi":"10.1158/1538-7445.am2011-5068","title":"Abstract 5068: Proteomics based prognostic signature of head and neck cancer","year":2011,"lang":"en","type":"article","venue":"Cancer Research","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"IONICS Mass Spectrometry (Canada); Mount Sinai Hospital","funders":"","keywords":"Head and neck cancer; Medicine; Oncology; Internal medicine; Cancer; Proteomics; Cohort; Tissue microarray; Pathology; Biology; Gene","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":[0.0002623981,0.0001876462,0.0002627158,0.0007773286,0.0002142092,0.0004105334,0.0001616668,0.0002836355,0.002251894],"category_scores_gemma":[0.0005463679,0.00008252847,0.0001617383,0.0006264183,0.0001478603,0.0001892239,0.0001979983,0.0001991776,0.000585596],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000288656,"about_ca_system_score_gemma":0.0002087831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001318471,"about_ca_topic_score_gemma":0.001241783,"domain_scores_codex":[0.9999076,0.00001060335,0.000009384186,0.00002252148,0.00002858631,0.00002121059],"domain_scores_gemma":[0.9997631,0.00004972851,0.00007714643,0.00001378303,0.00005733462,0.0000389683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001131146,0.00008130613,0.7901481,0.0001609636,0.0001067923,0.001328413,0.00007257709,0.0004781608,0.1761861,0.00009891393,0.001611269,0.02859618],"study_design_scores_gemma":[0.000008750629,0.0001963238,0.9812405,0.00001159358,0.00006502907,0.003049585,0.00006395936,0.001119689,0.01257181,0.0001282726,0.001535945,0.000008539284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954236,0.001445882,0.0006245341,0.0001164638,0.00002675811,0.00001813207,0.001247928,0.00005066367,0.001046044],"genre_scores_gemma":[0.9974588,0.0003067485,0.0006534444,0.00002612001,0.00002040668,0.00001335426,0.000950031,0.000003858614,0.0005673096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002251894,"threshold_uncertainty_score":0.007533312,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07345392335989154,"score_gpt":0.3713836606381814,"score_spread":0.2979297372782899,"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."}}