{"id":"W1990026153","doi":"10.1118/1.4740208","title":"Sci—Sat AM: Brachy — 01: Evaluation of dose‐volume metrics for microbeam radiation therapy","year":2012,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Nuclear medicine; Collimated light; Microbeam; Monte Carlo method; Dosimetry; Radiation treatment planning; Volume (thermodynamics); Radiation therapy; Materials science; Physics; Optics; Mathematics; Medicine; Statistics; 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":[0.002935271,0.0006227007,0.0003851762,0.001280768,0.0003974262,0.00152416,0.0009651397,0.0008337827,0.02754388],"category_scores_gemma":[0.006042789,0.0004322162,0.0005345988,0.00136722,0.0005780108,0.0006276701,0.0009748557,0.000576576,0.006842585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001176968,"about_ca_system_score_gemma":0.001000262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001544955,"about_ca_topic_score_gemma":0.001436953,"domain_scores_codex":[0.9990913,0.0002928527,0.00004108948,0.00006831029,0.000472212,0.00003422977],"domain_scores_gemma":[0.9976521,0.0009302078,0.0002607232,0.0003433418,0.0006406733,0.0001729396],"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":[0.003263447,0.0009892758,0.01450144,0.002431815,0.0002955425,0.0005183733,0.0004148307,0.2119128,0.1873963,0.02583456,0.1097255,0.4427162],"study_design_scores_gemma":[0.0004189,0.003480799,0.03996039,0.0003454968,0.0001659471,0.001787776,0.0001970794,0.5366842,0.1968942,0.006823073,0.2130309,0.0002111434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2222977,0.005539595,0.3933477,0.003183805,0.001431999,0.002679435,0.01809289,0.02874241,0.3246845],"genre_scores_gemma":[0.7341202,0.001995398,0.1965069,0.0006972075,0.0002689764,0.001299768,0.009559325,0.008871492,0.04668073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02754388,"threshold_uncertainty_score":0.09214342,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199808611191955,"score_gpt":0.344771779145828,"score_spread":0.3127736930339084,"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."}}