{"id":"W3134668675","doi":"10.2139/ssrn.3420420","title":"Predictive Classifier for Intensive Treatment of Head and Neck Cancer","year":2019,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Head and neck cancer; Medicine; Classifier (UML); Head and neck; Radiology; Computer science; Artificial intelligence; Internal medicine; Surgery; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003146422,0.0004861347,0.0008661053,0.001407947,0.000569312,0.001302257,0.001071323,0.001114536,0.005260773],"category_scores_gemma":[0.01617231,0.000221336,0.0009220524,0.000992667,0.0003153614,0.000901117,0.0005850816,0.001980511,0.0007287741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009017573,"about_ca_system_score_gemma":0.001062959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003732133,"about_ca_topic_score_gemma":0.004184837,"domain_scores_codex":[0.9986658,0.0006114891,0.00009816818,0.0001503685,0.0002952471,0.000178933],"domain_scores_gemma":[0.9902322,0.007074444,0.001118583,0.0004052866,0.0007527353,0.0004166338],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004999307,0.0009614545,0.8989876,0.0003334052,0.0005220358,0.0002063754,0.0001928483,0.007604234,0.0005766178,0.001643615,0.009166974,0.07480548],"study_design_scores_gemma":[0.0004654652,0.002664549,0.8320705,0.0004992834,0.002411366,0.0007077396,0.001140415,0.1410208,0.002463734,0.008819069,0.007633905,0.0001032653],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9786639,0.003290948,0.005874791,0.001617905,0.0006270707,0.0001782763,0.003030607,0.0001099929,0.006606403],"genre_scores_gemma":[0.9947944,0.0004669195,0.001788057,0.0001862236,0.0002112835,0.00007274628,0.001448256,0.00001216355,0.001019804],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005260773,"threshold_uncertainty_score":0.01759899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0214478484680936,"score_gpt":0.3183965835946627,"score_spread":0.2969487351265691,"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."}}