{"id":"W4320016403","doi":"10.1016/j.ctro.2023.100590","title":"Artificial intelligence to predict outcomes of head and neck radiotherapy","year":2023,"lang":"en","type":"article","venue":"Clinical and Translational Radiation Oncology","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Polytechnique Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Radiation therapy; Head and neck cancer; Medicine; Context (archaeology); Radiomics; Medical physics; Clinical trial; Head and neck; Radiology; Surgery; Pathology","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":[0.0027556,0.0008406114,0.0009813873,0.001718686,0.0001384157,0.001639455,0.0007337001,0.0007319001,0.0008847408],"category_scores_gemma":[0.01059323,0.0001916817,0.0009381567,0.001253346,0.0004155808,0.0006908028,0.0005307258,0.001700529,0.0003515688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005817761,"about_ca_system_score_gemma":0.000676356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002485963,"about_ca_topic_score_gemma":0.001962055,"domain_scores_codex":[0.9990112,0.0004810423,0.00009162545,0.000126449,0.0002358761,0.00005384508],"domain_scores_gemma":[0.9953471,0.003917537,0.0003140635,0.00009270489,0.0002715871,0.00005704719],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002191629,0.0002784439,0.06514847,0.001623189,0.001246084,0.0002352016,0.0001356878,0.338226,0.0008967875,0.009363613,0.01191719,0.5707102],"study_design_scores_gemma":[0.00002484412,0.0002400806,0.02127044,0.0009030646,0.0003292281,0.0002520713,0.00007646975,0.9277504,0.000976714,0.03627482,0.01183468,0.00006711259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1907298,0.195602,0.5743439,0.01365672,0.001480484,0.0004475172,0.004348331,0.001443174,0.01794811],"genre_scores_gemma":[0.8643507,0.05735959,0.06993645,0.001314458,0.0009506029,0.0003763689,0.003335767,0.00007101089,0.002305068],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0027556,"threshold_uncertainty_score":0.01457316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06672294476985431,"score_gpt":0.4533446849290613,"score_spread":0.386621740159207,"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."}}