{"id":"W2002935844","doi":"10.1118/1.599033","title":"Detecting electron beam energy shifts with a commercially available energy monitor","year":2000,"lang":"en","type":"article","venue":"Medical Physics","topic":"Advanced Radiotherapy Techniques","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal General Hospital","funders":"","keywords":"Electron; Energy (signal processing); Beam (structure); Cathode ray; Magnet; Beam energy; Linear particle accelerator; Physics; SIGNAL (programming language); Atomic physics; Materials science; Optics; Nuclear physics; Computer science","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":[0.0006156244,0.0004971559,0.0003765765,0.0008367917,0.000284817,0.0005014237,0.001174301,0.001260333,0.005463346],"category_scores_gemma":[0.001959585,0.0004457562,0.0002337602,0.0004424795,0.0003502881,0.0006536573,0.0006134851,0.000660743,0.001348285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002945322,"about_ca_system_score_gemma":0.0002205561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001194862,"about_ca_topic_score_gemma":0.000454246,"domain_scores_codex":[0.9991069,0.0001416768,0.00006158982,0.0002217338,0.0004257559,0.00004231009],"domain_scores_gemma":[0.9986317,0.0007352598,0.0002376739,0.0001459986,0.0001893787,0.00006004863],"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":[0.0002936583,0.00009842955,0.002155139,0.0001904587,0.00002780703,0.0002359804,0.0000500887,0.0001711956,0.9749023,0.0004836682,0.001132128,0.02025925],"study_design_scores_gemma":[0.00005271233,0.0004048081,0.00695181,0.0000355798,0.00007526521,0.001526902,0.00004723643,0.00474714,0.9780302,0.0001862026,0.007910565,0.00003159733],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6103176,0.007136967,0.3589807,0.001276084,0.000600351,0.0005151772,0.00158573,0.005551029,0.01403624],"genre_scores_gemma":[0.6853297,0.001794732,0.2931322,0.0008114547,0.0001366889,0.0008468088,0.001301704,0.0003953332,0.01625142],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005463346,"threshold_uncertainty_score":0.01827669,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005981501718675398,"score_gpt":0.239088718112128,"score_spread":0.2331072163934526,"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."}}