{"id":"W2045664118","doi":"10.1016/j.canrad.2011.02.004","title":"Comparaison dosimétrique de la radiothérapie conformationnelle, la radiothérapie conformationnelle avec modulation d’intensité, la radiothérapie conformationnelle en conditions stéréotaxiques et la radiothérapie en conditions stéréotaxiques robotisée des tumeurs cérébrales bénignes","year":2011,"lang":"fr","type":"article","venue":"Cancer/Radiothérapie","topic":"Meningioma and schwannoma management","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre d'expertise et de recherche en infrastructures urbaines","funders":"","keywords":"Medicine; Cyberknife; Radiation therapy; Nuclear medicine; Radiosurgery; Craniopharyngioma; Radiology","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":[0.001222412,0.0002950151,0.0007607953,0.0006199184,0.0001994758,0.0005469407,0.0003052758,0.0005544912,0.002867343],"category_scores_gemma":[0.003440586,0.0002319191,0.0005023862,0.0006530231,0.0004304615,0.0005935633,0.0001734422,0.0004948279,0.0002875907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008437418,"about_ca_system_score_gemma":0.000481654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003405896,"about_ca_topic_score_gemma":0.00230064,"domain_scores_codex":[0.9991245,0.0003542021,0.00007416722,0.0001434664,0.0002101177,0.00009353128],"domain_scores_gemma":[0.9977313,0.001391593,0.0003524394,0.0001997024,0.000251806,0.00007322663],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.1120803,0.002043589,0.03271553,0.001856981,0.001476862,0.0004019242,0.00137416,0.03086214,0.4585794,0.002302342,0.001748633,0.3545582],"study_design_scores_gemma":[0.003557895,0.144395,0.3523811,0.0002295287,0.003793491,0.003630775,0.001687073,0.01539313,0.4315479,0.001572312,0.04156525,0.0002465991],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9756925,0.0154425,0.003302749,0.0001598676,0.0001359629,0.00009929664,0.0003059905,0.00005573485,0.004805458],"genre_scores_gemma":[0.9933878,0.002707661,0.001636132,0.000053963,0.00007694591,0.00008190725,0.0002500484,0.00006282682,0.001742566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003405896,"threshold_uncertainty_score":0.009592235,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02092390932390413,"score_gpt":0.3238191345158172,"score_spread":0.302895225191913,"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."}}