{"id":"W4401751151","doi":"10.1109/isbi56570.2024.10635238","title":"Dose Aware Toxicity Prediction in Head and Neck Cancer Patients Using a Deformable 3D CNN on Daily CBCT Acquisitions","year":2024,"lang":"en","type":"article","venue":"","topic":"Brain Tumor Detection and Classification","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Head and neck cancer; Head and neck; Computer science; Toxicity; Medicine; Radiology; Radiation therapy; Surgery; Internal medicine","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":[0.00007511113,0.00009355402,0.00007223551,0.0001602908,0.0001727186,0.0001225529,0.0000526543,0.00005045643,0.0002302171],"category_scores_gemma":[0.0000431885,0.00008161686,0.00002290518,0.0004368614,0.00003868581,0.000401869,0.00002576776,0.0001426192,0.00004219819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002130961,"about_ca_system_score_gemma":0.00004492041,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001869014,"about_ca_topic_score_gemma":0.0001672027,"domain_scores_codex":[0.999099,0.00005019176,0.0001709523,0.0003320374,0.0001845687,0.0001632555],"domain_scores_gemma":[0.9997366,0.00004463868,0.00002880869,0.0001116423,0.00002020405,0.00005808793],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005160337,0.001529392,0.05294423,0.0004168731,0.00002259133,0.00003899003,0.002747097,0.008999128,0.8354834,0.006237737,0.004715828,0.08634865],"study_design_scores_gemma":[0.001001312,0.000308613,0.1972902,0.0002913912,0.00001404909,0.00001702066,0.0001229858,0.7209559,0.07601126,0.0002809774,0.003469031,0.0002372052],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951472,0.0000188109,0.0005493237,0.0003403369,0.0004840215,0.0002294534,0.00005928596,0.0001657655,0.003005764],"genre_scores_gemma":[0.9982457,0.00002757369,0.00004196874,0.0008903497,0.00005246061,0.00003982604,0.000005271298,0.00001130398,0.0006856014],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7594722,"threshold_uncertainty_score":0.3328239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04547536143946583,"score_gpt":0.3022875481581755,"score_spread":0.2568121867187097,"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."}}