{"id":"W2146100859","doi":"10.1186/1471-2407-14-130","title":"Systematic analysis of 18F-FDG PET and metabolism, proliferation and hypoxia markers for classification of head and neck tumors","year":2014,"lang":"en","type":"article","venue":"BMC Cancer","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Ontario Institute for Cancer Research","funders":"Radboud Universiteit; Center for Translational Molecular Medicine; Government of Ontario; Radboud Universitair Medisch Centrum; National Institutes of Health; Ontario Institute for Cancer Research","keywords":"Immunohistochemistry; Positron emission tomography; Surgical oncology; Hypoxia (environmental); Medicine; Tumor hypoxia; Pathology; Proliferation Marker; Oncology; Nuclear medicine; Internal medicine; Radiation therapy; Chemistry","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002962489,0.00008856769,0.0006847971,0.0001397298,0.0000398575,0.000007292484,0.00001709405,0.00002124165,0.000004633674],"category_scores_gemma":[0.000198123,0.00006740289,0.00005106313,0.0001905531,0.00007637781,0.00004580985,0.00001157089,0.00002666956,6.36776e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002028418,"about_ca_system_score_gemma":0.00005216912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001333954,"about_ca_topic_score_gemma":0.0008212454,"domain_scores_codex":[0.9992467,0.00004492862,0.0003241057,0.0001743825,0.0001205204,0.00008931731],"domain_scores_gemma":[0.9993531,0.0001543533,0.000183735,0.0001247176,0.0001312095,0.00005294203],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001625421,0.000141324,0.8726557,0.08410636,0.003307429,6.537354e-7,0.003111176,0.00004000157,0.02685174,0.003500845,0.0009745517,0.003684796],"study_design_scores_gemma":[0.001333636,0.0001471621,0.9697937,0.001416986,0.002787579,0.000003808605,0.0003466553,0.02343152,0.0005117534,0.00002975328,0.0001232204,0.0000742333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9925283,0.005787675,0.0005770769,0.0002066891,0.00003851275,0.0006911325,0.0000303735,0.000007601694,0.0001326074],"genre_scores_gemma":[0.99824,0.0004518349,0.0008676617,0.00005550716,0.00004106885,0.0002113331,0.000007500984,0.000008051982,0.0001170409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09713799,"threshold_uncertainty_score":0.274861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0315287939286991,"score_gpt":0.3150382889248449,"score_spread":0.2835094949961458,"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."}}