{"id":"W2900127995","doi":"10.1016/j.ejrad.2018.11.005","title":"Dual-energy computed tomography for prediction of loco-regional recurrence after radiotherapy in larynx and hypopharynx squamous cell carcinoma","year":2018,"lang":"en","type":"article","venue":"European Journal of Radiology","topic":"Advanced X-ray and CT Imaging","field":"Engineering","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Varian Medical Systems","keywords":"Medicine; Radiation therapy; Larynx; Nuclear medicine; Radiology; Proportional hazards model; Cancer; Internal medicine; Surgery","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002873193,0.0001243293,0.000246665,0.0002481572,0.00002573942,0.000005897728,0.0001054642,0.00002960499,0.000009119498],"category_scores_gemma":[0.00001000212,0.0001169637,0.00006975271,0.0001364521,0.0001561798,0.0001278604,0.00001178314,0.0001498796,4.347161e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002143998,"about_ca_system_score_gemma":0.00001242398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.448745e-7,"about_ca_topic_score_gemma":0.000001206944,"domain_scores_codex":[0.9990826,0.000156244,0.0004010456,0.0001145289,0.00006344444,0.0001821784],"domain_scores_gemma":[0.9995348,0.0000910789,0.0001340795,0.00008987868,0.00008430059,0.00006580963],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008267633,0.000907426,0.3917746,0.001117986,0.0005889473,0.002323212,0.01238402,0.06816064,0.3016861,0.001196753,0.04157852,0.1700141],"study_design_scores_gemma":[0.01496058,0.007625568,0.8350474,0.0002966349,0.0001041747,0.005717849,0.0002131116,0.06487185,0.01323737,0.000846491,0.05629968,0.0007793451],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8496573,0.01080934,0.1386558,0.00004619813,0.0005306701,0.00006604607,0.00002083226,0.00001817087,0.0001956399],"genre_scores_gemma":[0.9916739,0.000242339,0.00739853,0.00008628303,0.0005593351,0.000001795929,0.000004390147,0.00002724785,0.000006166897],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4432727,"threshold_uncertainty_score":0.476964,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008631125523291407,"score_gpt":0.2003538564886743,"score_spread":0.1917227309653829,"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."}}