{"id":"W2982931032","doi":"10.1002/hed.25975","title":"Evaluation of 18F‐FDG PET/CT as an early imaging biomarker for response monitoring after radiochemotherapy using cetuximab in head and heck squamous cell carcinoma","year":2019,"lang":"en","type":"article","venue":"Head & Neck","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto General Hospital; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Chemoradiotherapy; Nuclear medicine; Progression-free survival; Head and neck cancer; Head and neck squamous-cell carcinoma; Positron emission tomography; Cetuximab; PET-CT; Multivariate analysis; Biomarker; Internal medicine; Oncology; Radiation therapy; Response Evaluation Criteria in Solid Tumors; Clinical endpoint; Imaging biomarker; Cancer; Radiology; Randomized controlled trial; Chemotherapy; Progressive disease; Magnetic resonance imaging; Colorectal cancer","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":[0.001383687,0.0002176063,0.0005015573,0.0002349447,0.00006043583,0.00002258972,0.00005568131,0.00002024438,0.00003519881],"category_scores_gemma":[0.0001062266,0.0002084279,0.00008404299,0.0001970687,0.00005707591,0.0001882217,0.00002726443,0.0001214618,0.00000524726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002915126,"about_ca_system_score_gemma":0.0003040546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009089303,"about_ca_topic_score_gemma":0.00004922856,"domain_scores_codex":[0.9981447,0.0002128804,0.0003685057,0.0004271817,0.0004702071,0.0003765395],"domain_scores_gemma":[0.9990239,0.0001532867,0.00009387323,0.0003474759,0.0002657843,0.0001156709],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007746713,0.0002401235,0.7988236,0.0003237307,0.00002209315,0.00009986469,0.001859978,0.000007389759,0.1826214,9.419937e-7,0.00001979993,0.008234384],"study_design_scores_gemma":[0.01366927,0.001103909,0.9289182,0.0004538602,0.0001464682,0.0001834561,0.0005952528,0.01308218,0.04135531,0.00003587103,0.0002133162,0.0002428708],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.992077,0.005943752,0.000008491755,0.0002770245,0.0002407522,0.001180302,0.00000940542,0.00002311945,0.0002401703],"genre_scores_gemma":[0.9984741,0.0000309971,0.001017406,0.000113448,0.0001024954,0.00007672422,0.000003291596,0.0000528635,0.0001286568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1412661,"threshold_uncertainty_score":0.8499444,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05004551534918603,"score_gpt":0.3655337182659564,"score_spread":0.3154882029167704,"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."}}