{"id":"W2075521603","doi":"10.1118/1.2163252","title":"A direct voxel tracking method for four‐dimensional Monte Carlo dose calculations in deforming anatomy","year":2006,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"National Center for Advancing Translational Sciences","keywords":"Voxel; Monte Carlo method; Imaging phantom; Interpolation (computer graphics); Consistency (knowledge bases); Physics; Dosimetry; Deformation (meteorology); Computer science; Nuclear medicine; Mathematics; Geometry; Optics; Computer vision; Image (mathematics); Medicine; Statistics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002679978,0.0001676901,0.0002799655,0.00004887148,0.0001091754,0.00001622885,0.0001318027,0.00006478719,0.00004848337],"category_scores_gemma":[0.00002126208,0.0001518922,0.0001548725,0.0002192137,0.00005246833,0.0001710916,0.00002837099,0.0002174991,8.582455e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007494854,"about_ca_system_score_gemma":0.00009070327,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009148337,"about_ca_topic_score_gemma":0.00005369312,"domain_scores_codex":[0.9987754,0.00004093604,0.0002915659,0.0002620276,0.0003147172,0.0003154041],"domain_scores_gemma":[0.9992902,0.0003080186,0.00009059091,0.000166271,0.00005895278,0.00008591383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008380999,0.00109734,0.06328686,0.00006198994,0.0001857775,0.00002914085,0.0004876675,0.02120483,0.00305922,0.05614078,0.003145906,0.8512167],"study_design_scores_gemma":[0.005253192,0.0001376966,0.01016599,0.0003786702,0.0001043009,0.00000778974,0.00005593855,0.7230185,0.03975807,0.1885102,0.03130921,0.001300465],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03047403,0.00008628099,0.9674615,0.0002343377,0.0000751102,0.0003708145,0.00003523037,0.0001199886,0.001142747],"genre_scores_gemma":[0.8808848,0.000001108739,0.1178609,0.0001284844,0.000768915,0.0001613867,0.00003777398,0.00003968718,0.0001169633],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8504107,"threshold_uncertainty_score":0.6193986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01614645017192154,"score_gpt":0.3334804520201487,"score_spread":0.3173340018482272,"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."}}