{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001210762,0.0007502635,0.0004352964,0.0007628596,0.0002035304,0.0006130721,0.0008737139,0.0005298617,0.001833776],"category_scores_gemma":[0.004356659,0.0003370248,0.0003220463,0.0005750763,0.0005766224,0.0008877157,0.00102821,0.000475468,0.0005657538],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005474506,"about_ca_system_score_gemma":0.0005090917,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006140679,"about_ca_topic_score_gemma":0.00101717,"domain_scores_codex":[0.9984358,0.0001859994,0.00008784532,0.0002787499,0.0009581372,0.00005343797],"domain_scores_gemma":[0.9980959,0.0006632071,0.0003674464,0.0002829061,0.0005579097,0.00003262258],"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":[0.0006940969,0.00007111511,0.02009809,0.0006816596,0.00009971693,0.000134455,0.0003175132,0.01021676,0.8828469,0.0009735818,0.0004837957,0.08338242],"study_design_scores_gemma":[0.00001579423,0.000236528,0.008728174,0.00002475009,0.00004580789,0.0001905959,0.00005023064,0.006417071,0.9806512,0.0001782555,0.003433013,0.00002853258],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4825261,0.003620972,0.5061441,0.0001189557,0.0001133398,0.0004707298,0.001038008,0.002028504,0.003939377],"genre_scores_gemma":[0.8246024,0.001223849,0.1699425,0.0001471887,0.00002084448,0.0002547498,0.0005962173,0.0003600415,0.002852058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001833776,"threshold_uncertainty_score":0.006403208,"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."}}