{"id":"W3136684496","doi":"10.18429/jacow-srf2017-moxa03","title":"The 30MeV Stage of the ARIEL e-linac","year":2017,"lang":"en","type":"article","venue":"JACOW","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Stage (stratigraphy); Linear particle accelerator; Computer science; Physics; Geology; Optics","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":[0.0008690602,0.0003714943,0.0004386515,0.0003901705,0.0009515506,0.0007589285,0.001042607,0.0007210283,0.01923805],"category_scores_gemma":[0.0004763951,0.0002647659,0.000315433,0.000223305,0.0003149465,0.0005705092,0.0008472755,0.001049592,0.005075395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001050114,"about_ca_system_score_gemma":0.001822362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003726068,"about_ca_topic_score_gemma":0.004118422,"domain_scores_codex":[0.9994898,0.00003640406,0.000008439465,0.00009233116,0.0002411166,0.000131824],"domain_scores_gemma":[0.9995041,0.00005150906,0.00003210727,0.00006888035,0.000238627,0.000104776],"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":[0.001907854,0.0001556936,0.006819571,0.0002598786,0.00003910464,0.0003989843,0.000463578,0.003997907,0.9148788,0.005668202,0.0203203,0.04509007],"study_design_scores_gemma":[0.0003695652,0.004885945,0.05095892,0.00007347996,0.00005001697,0.001260193,0.0002499853,0.01684528,0.642221,0.001219286,0.2816904,0.0001759117],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7941841,0.0008755888,0.05075396,0.001062809,0.0005112293,0.0009969634,0.005712764,0.01149656,0.1344059],"genre_scores_gemma":[0.880551,0.0001583837,0.04170481,0.0004301895,0.0000976539,0.0005153842,0.004129834,0.0007431055,0.07166961],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01923805,"threshold_uncertainty_score":0.0643577,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0117145540958131,"score_gpt":0.225625742272151,"score_spread":0.2139111881763379,"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."}}