{"id":"W1637088325","doi":"10.1120/jacmp.v12i2.3395","title":"Computed tomography dose index and dose length product for cone‐beam CT: Monte Carlo simulations of a commercial system","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Clinical Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Varian Medical Systems","keywords":"Nuclear medicine; Dosimetry; Cone beam computed tomography; Monte Carlo method; Ionization chamber; Physics; Beam (structure); Dose profile; Collimated light; Computed tomography; Optics; Medicine; Mathematics; Radiology","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":[0.0007902198,0.0003601376,0.0003761911,0.0005177431,0.0002885366,0.0006019007,0.0009304907,0.0008357044,0.001968815],"category_scores_gemma":[0.002331999,0.0004172384,0.0003952618,0.0007266506,0.0002955488,0.0003959083,0.0002183872,0.0004989785,0.0002802064],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001429653,"about_ca_system_score_gemma":0.0008392556,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01198614,"about_ca_topic_score_gemma":0.007623616,"domain_scores_codex":[0.9997795,0.0000651661,0.00001509252,0.00003680713,0.00008176382,0.00002162892],"domain_scores_gemma":[0.9986755,0.0008691437,0.0001122266,0.00008220427,0.0002345016,0.00002627274],"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":[0.00006142891,0.00003069069,0.001585604,0.00004757704,0.00001990493,0.00005175601,0.00004166234,0.9895304,0.003005394,0.001571077,0.0003512977,0.003703064],"study_design_scores_gemma":[0.000008494005,0.00001462358,0.000446518,0.000004248163,0.000006226627,0.00002586552,0.00000579788,0.9973252,0.001506914,0.0002129122,0.0004365539,0.000006726248],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6380463,0.00095847,0.339488,0.0003910798,0.00005445956,0.000407599,0.001431643,0.001453099,0.01776936],"genre_scores_gemma":[0.9094133,0.0002827074,0.08692319,0.00007638092,0.000008413869,0.0003422525,0.0005034275,0.0002737,0.002176642],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.01198614,"threshold_uncertainty_score":0.02383274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03939043801977225,"score_gpt":0.3395801454607706,"score_spread":0.3001897074409983,"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."}}