{"id":"W3178947120","doi":"10.3389/fonc.2021.639326","title":"Diagnostic Utility of Radiomics in Thyroid and Head and Neck Cancers","year":2021,"lang":"en","type":"review","venue":"Frontiers in Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"National Institutes of Health","keywords":"Radiomics; Medicine; Otorhinolaryngology; Head and neck; Medical imaging; Medical physics; Radiogenomics; Disease; Radiology; Pathology; Surgery","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":[0.0006725919,0.000242383,0.002830758,0.0003644938,0.00001906015,0.000006733026,0.0001016795,0.0004243171,0.00001641716],"category_scores_gemma":[0.002266071,0.000216417,0.0001106508,0.0003149133,0.0004217246,0.00002507408,0.0001045205,0.001124984,2.728079e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005061235,"about_ca_system_score_gemma":0.001148206,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004035276,"about_ca_topic_score_gemma":0.0001134601,"domain_scores_codex":[0.9981262,0.0003376609,0.000679433,0.0004467677,0.0001133196,0.0002965832],"domain_scores_gemma":[0.9985512,0.0008116587,0.0002293942,0.0002301298,0.00002429537,0.0001532818],"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":[0.00002328522,0.00006997325,0.0408087,0.005727133,0.00007935533,0.0004326752,0.000189585,0.000001653733,1.691185e-7,0.00002404219,0.00522254,0.9474209],"study_design_scores_gemma":[0.00180105,0.0002525134,0.004177639,0.01038609,0.0003720241,0.0003321497,0.0001255219,0.001382976,1.3864e-7,0.00009144978,0.9809055,0.0001729807],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.003945676,0.9932213,0.0002310397,0.0003622772,0.00090445,0.000554905,0.00001116703,0.000007848075,0.000761373],"genre_scores_gemma":[0.0003154867,0.9909292,0.008275443,0.0001930296,0.0001033888,0.00004440449,0.0000506622,0.00002933347,0.00005899554],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9756829,"threshold_uncertainty_score":0.8825228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02342582236470347,"score_gpt":0.3656006319548759,"score_spread":0.3421748095901724,"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."}}