{"id":"W2174611429","doi":"10.1120/jacmp.v16i6.5642","title":"Quantification of dose differences between two versions of Acuros XB algorithm compared to Monte Carlo simulations — the effect on clinical patient treatment planning","year":2015,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"BC Cancer Agency","keywords":"Monte Carlo method; Algorithm; Radiation treatment planning; Computer science; Medical physics; Mathematics; Statistics; Medicine; Radiology; Radiation therapy","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":[0.002843607,0.0006341925,0.0006122088,0.000753968,0.0002965104,0.001530921,0.000966443,0.0009039355,0.001976496],"category_scores_gemma":[0.01272218,0.0006614288,0.0005093723,0.001035805,0.0003557047,0.0008330382,0.001105218,0.000955082,0.0003674743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001078722,"about_ca_system_score_gemma":0.0007931794,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002508624,"about_ca_topic_score_gemma":0.001979842,"domain_scores_codex":[0.9975364,0.001027553,0.0001724254,0.0003617957,0.0008159866,0.00008576695],"domain_scores_gemma":[0.991556,0.00547396,0.0007764189,0.001113479,0.0009287392,0.0001512558],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.006795063,0.0005436882,0.01631512,0.0006449349,0.0003998055,0.0001720838,0.0006902132,0.6516173,0.08467414,0.005078394,0.002965514,0.2301037],"study_design_scores_gemma":[0.0002608995,0.001488571,0.02164113,0.00005784844,0.0001393905,0.0004102247,0.0001097469,0.8939805,0.0739364,0.00113893,0.006697217,0.0001392261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7150164,0.002461687,0.2675756,0.0004858768,0.0002459801,0.0003659197,0.0008143527,0.003479517,0.009554703],"genre_scores_gemma":[0.8330451,0.0003230913,0.1622776,0.0001887901,0.00002500596,0.000274306,0.0006779243,0.001449362,0.00173873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002843607,"threshold_uncertainty_score":0.01503861,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1175295910996879,"score_gpt":0.4493556812197231,"score_spread":0.3318260901200352,"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."}}