{"id":"W1897983411","doi":"10.1118/1.4931970","title":"Direct measurement of electron beam quality conversion factors using water calorimetry","year":2015,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Saskatchewan Cancer Agency; University of Saskatchewan; University of Toronto; McGill University","funders":"Canadian Institutes of Health Research","keywords":"Laser beam quality; Calorimeter (particle physics); Absorbed dose; Ionization chamber; Dosimetry; Beam (structure); Materials science; Cathode ray; Monte Carlo method; Physics; Dosimeter; Electron; Atomic physics; Ionization; Nuclear physics; Optics; Radiation; Nuclear medicine; Ion; Medicine","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922339,0.0001422101,0.0002917001,0.0000206145,0.00003829335,0.000005482739,0.0001510396,0.0000533775,0.00008545374],"category_scores_gemma":[0.00002362039,0.00009901245,0.00009762494,0.00008910648,0.00009881037,0.0001002863,0.00004520182,0.0001767017,0.00000224619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001382609,"about_ca_system_score_gemma":0.0001220387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000550107,"about_ca_topic_score_gemma":5.198229e-7,"domain_scores_codex":[0.9983767,0.00006764402,0.0002416502,0.0001770732,0.0008903435,0.0002466177],"domain_scores_gemma":[0.9993445,0.00003257803,0.00009008306,0.0002061881,0.0001469518,0.0001797386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002621902,0.00235341,0.4037031,0.0001852033,0.0008504957,0.000003995705,0.003560274,0.0003293233,0.5616006,0.002568913,0.003159705,0.0214228],"study_design_scores_gemma":[0.0003768938,0.00006758357,0.0001769086,0.00002339298,0.0000173527,6.524733e-8,0.00002806377,0.00008738627,0.9955443,0.001840045,0.001702546,0.0001354218],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6608682,0.00005427517,0.3380742,0.00002069709,0.0001307812,0.000104853,0.000008529672,0.00004756809,0.0006908074],"genre_scores_gemma":[0.9990639,0.000001823501,0.0005436543,0.00002937296,0.0003010597,0.000002978722,0.00002193644,0.00001920846,0.00001607403],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4339437,"threshold_uncertainty_score":0.4037611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05462133052177213,"score_gpt":0.3321375060826923,"score_spread":0.2775161755609202,"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."}}