{"id":"W3034614593","doi":"10.1016/j.nic.2020.04.005","title":"Patient-Centric Head and Neck Cancer Radiation Therapy","year":2020,"lang":"en","type":"review","venue":"Neuroimaging Clinics of North America","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre","funders":"GE Healthcare","keywords":"Radiogenomics; Medicine; Radiation therapy; Head and neck cancer; Radioresistance; Radiomics; Head and neck; Personalized medicine; Precision medicine; Modalities; Cancer; Medical physics; Radiology; Bioinformatics; Pathology; Internal medicine; Surgery; Biology","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":[0.0004698025,0.0003819112,0.0008705407,0.001330384,0.0002040047,0.0006252787,0.0005266668,0.000455811,0.004054342],"category_scores_gemma":[0.001265456,0.0001291476,0.000505215,0.002156528,0.000338089,0.0005175363,0.0004125711,0.0005905489,0.0007499962],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00083046,"about_ca_system_score_gemma":0.001778037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003246474,"about_ca_topic_score_gemma":0.01001571,"domain_scores_codex":[0.9998131,0.00005656997,0.00003237409,0.0000421001,0.00003737667,0.00001841567],"domain_scores_gemma":[0.9995641,0.0002238903,0.0001166608,0.00001668528,0.00005929499,0.00001926955],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006159289,0.00003048185,0.0009708474,0.02571098,0.000179848,0.0002380689,0.00004743195,0.0002938704,0.000523585,0.002121425,0.03094756,0.9388743],"study_design_scores_gemma":[0.00004593334,0.0001103507,0.007001537,0.01626543,0.0006948516,0.004366773,0.0001147618,0.0001339462,0.0005565352,0.001215644,0.96947,0.00002420512],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003000585,0.9967247,0.0001323325,0.0002754234,0.0001509461,0.000009101242,0.00005007159,0.000008206651,0.002349186],"genre_scores_gemma":[0.004258228,0.9940428,0.0002647228,0.0006394912,0.000216885,0.00001180988,0.00009425382,0.000002848022,0.0004688558],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004054342,"threshold_uncertainty_score":0.0135631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501507224030336,"score_gpt":0.3717797346304144,"score_spread":0.336764662390111,"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."}}