{"id":"W4417523116","doi":"10.1002/alr.70089","title":"Artificial Intelligence for Endoscopic Surveillance Post‐Treatment for Nasopharyngeal Carcinoma: Detection of Recurrence and Osteoradionecrosis","year":2025,"lang":"en","type":"article","venue":"International Forum of Allergy & Rhinology","topic":"Head and Neck Cancer Studies","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal","funders":"","keywords":"Osteoradionecrosis; Context (archaeology); Nasopharyngeal carcinoma; Radiation therapy; Deep learning; Perforation; Convolutional neural network","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":[0.001742542,0.0002603604,0.0003986402,0.001052167,0.0001735251,0.0009560075,0.0003757884,0.0004299712,0.001742121],"category_scores_gemma":[0.008202293,0.0001215338,0.0004393143,0.0004712864,0.0002664761,0.0002857284,0.0002692835,0.0004448614,0.0002457785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003434331,"about_ca_system_score_gemma":0.0005601667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001532346,"about_ca_topic_score_gemma":0.002765248,"domain_scores_codex":[0.9992611,0.0004368044,0.00006266851,0.0000428833,0.0001594257,0.00003721764],"domain_scores_gemma":[0.9978583,0.001573886,0.0002256179,0.00006447487,0.0001829453,0.00009462148],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002163113,0.001045531,0.1733181,0.001133857,0.000543303,0.0009173377,0.000248929,0.006656317,0.007376635,0.001151094,0.01028491,0.7951608],"study_design_scores_gemma":[0.0004635392,0.00855373,0.5638024,0.001787769,0.001685002,0.009303195,0.001425412,0.3537677,0.0159264,0.01341429,0.02965529,0.0002153003],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8600733,0.05967715,0.03507797,0.01528389,0.001012933,0.0008145564,0.0009498753,0.0004713365,0.02663891],"genre_scores_gemma":[0.9696615,0.008679112,0.01920712,0.0004766168,0.0002014075,0.0001424319,0.0002875437,0.0000125618,0.001331657],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001742542,"threshold_uncertainty_score":0.009215534,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02958918715468334,"score_gpt":0.3227741713336217,"score_spread":0.2931849841789384,"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."}}