{"id":"W7056855330","doi":"","title":"Implantation et validation dâun modèle Monte Carlo du Cyberknife dans un outil de calcul de dose clinique","year":2014,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Monte Carlo method; Cyberknife; Hybrid Monte Carlo; Statistical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.005077028,0.0009517949,0.0006876145,0.0009244494,0.0005211994,0.001930171,0.00109295,0.001188119,0.002865187],"category_scores_gemma":[0.004692086,0.000988232,0.0008808085,0.0007827672,0.0009121104,0.0006613819,0.0009111211,0.0009510639,0.0009081084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00158573,"about_ca_system_score_gemma":0.002649024,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007626564,"about_ca_topic_score_gemma":0.007001574,"domain_scores_codex":[0.9975843,0.000397514,0.0001002957,0.0003104818,0.001514996,0.00009243539],"domain_scores_gemma":[0.9966314,0.001510474,0.0002576178,0.0004755011,0.001022419,0.0001025843],"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":[0.00154488,0.0003946684,0.01350008,0.001556651,0.000295868,0.0007100075,0.00216053,0.2572452,0.5202556,0.01431304,0.004286398,0.183737],"study_design_scores_gemma":[0.0001490086,0.000898006,0.01019374,0.000329568,0.0001607217,0.0008432129,0.0002115169,0.3184539,0.6206234,0.001251815,0.04661553,0.0002694867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1238787,0.002891457,0.8594453,0.0004614081,0.0003296004,0.0005512786,0.0005843758,0.00370006,0.008157774],"genre_scores_gemma":[0.4123683,0.002165555,0.5707765,0.0002612826,0.00004067276,0.000885322,0.0007287956,0.001398965,0.01137467],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007626564,"threshold_uncertainty_score":0.02685022,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003368881405608134,"score_gpt":0.1581989246130642,"score_spread":0.1548300432074561,"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."}}