{"id":"W7019160495","doi":"","title":"Extraction et analyse des caractéristiques de l’image dans le cadre de la méthode radiomique appliqué à la prédiction de la radiothérapie","year":2022,"lang":"en","type":"article","venue":"theses.fr (ABES)","topic":"Radiomics and Machine Learning in Medical Imaging","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Région Bretagne; Canadian Institute for Advanced Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Digital pattern generator; Feature matching; Radiomics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001505826,0.001470643,0.00138785,0.002155536,0.0006451525,0.003650009,0.001291446,0.002531682,0.006341502],"category_scores_gemma":[0.003981065,0.0008920162,0.001903704,0.001808285,0.000959389,0.002007548,0.0009173357,0.001670862,0.004682482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010425,"about_ca_system_score_gemma":0.001849733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007895663,"about_ca_topic_score_gemma":0.008477936,"domain_scores_codex":[0.9988079,0.0001746666,0.00007878751,0.0003483721,0.0004583605,0.0001318815],"domain_scores_gemma":[0.9983429,0.0006090127,0.0001392745,0.0002669885,0.0005983685,0.00004342651],"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":[0.000446391,0.0001043423,0.003182346,0.001113037,0.00024232,0.0004915741,0.0004268052,0.06174451,0.1872206,0.008830154,0.008429879,0.7277682],"study_design_scores_gemma":[0.00005552922,0.000297766,0.009344837,0.000297462,0.0003612802,0.001639912,0.0004842737,0.6830199,0.2132753,0.01237829,0.07864147,0.0002039673],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01387751,0.001906337,0.9774924,0.0005487639,0.0002144872,0.0001504272,0.000333359,0.002233457,0.003243282],"genre_scores_gemma":[0.1926715,0.00460605,0.7767249,0.0007366984,0.0002567002,0.0003941668,0.001755285,0.001269196,0.02158544],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007895663,"threshold_uncertainty_score":0.02121437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01274044190773154,"score_gpt":0.3331645199489413,"score_spread":0.3204240780412097,"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."}}