{"id":"W2757193040","doi":"10.1016/j.ijrobp.2017.06.485","title":"Dual-Energy Computed Tomography for Prediction of Local Recurrence in Larynx and Hypopharynx Squamous Cell Carcinoma","year":2017,"lang":"en","type":"article","venue":"International Journal of Radiation Oncology*Biology*Physics","topic":"Welding Techniques and Residual Stresses","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Medicine; Larynx; Radiation therapy; Hypopharyngeal cancer; Nuclear medicine; Stage (stratigraphy); Laryngectomy; Radiology; Cancer; Head and neck cancer; Induction chemotherapy; Radiation treatment planning; Surgery; Internal medicine","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":[0.0005036989,0.0003815364,0.0004184405,0.0009530949,0.0002256899,0.0006187624,0.0005175723,0.0007369649,0.0006592611],"category_scores_gemma":[0.001191255,0.0002605874,0.0003739008,0.0003942148,0.0003239633,0.0003386132,0.0002945047,0.0003940648,0.0001608569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003935163,"about_ca_system_score_gemma":0.0003208205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003418525,"about_ca_topic_score_gemma":0.005297617,"domain_scores_codex":[0.9998552,0.00003444036,0.00002261758,0.00002636844,0.00003462855,0.0000266694],"domain_scores_gemma":[0.9995667,0.0001593926,0.00007755835,0.00002212279,0.00007979535,0.0000943755],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001671205,0.00009812468,0.9843494,0.00003453954,0.00005970295,0.0007054777,0.00004669146,0.0003977222,0.005327793,0.00002848585,0.0001098374,0.007170998],"study_design_scores_gemma":[0.00007913311,0.0007548054,0.9789405,0.00003456552,0.0004204746,0.002682575,0.0004774292,0.01132338,0.004583418,0.0000956131,0.0005856146,0.00002250313],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985185,0.0008688413,0.0001958942,0.00003935244,0.00001326085,0.00000944463,0.00007380779,0.000005572465,0.0002753752],"genre_scores_gemma":[0.9992045,0.0002439378,0.0002466878,0.0000124239,0.000007846205,0.000006086356,0.00009889872,0.000001604965,0.0001781205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003418525,"threshold_uncertainty_score":0.006797254,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01560439182529183,"score_gpt":0.273176347760919,"score_spread":0.2575719559356272,"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."}}