{"id":"W4381802825","doi":"10.1016/j.nimb.2023.05.056","title":"Simulation-based optimization for the TRIUMF FEBIAD ion source","year":2023,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section B Beam Interactions with Materials and Atoms","topic":"Particle accelerators and beam dynamics","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria; TRIUMF","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermionic emission; Ion source; Nuclear engineering; Ion; Reliability (semiconductor); Ionization; Cathode; Robustness (evolution); Materials science; Nuclear physics; Physics; Chemistry; Engineering; Electrical engineering; Electron","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007864423,0.0009370575,0.001297915,0.0008045688,0.001018894,0.001131377,0.001693354,0.00177792,0.007807418],"category_scores_gemma":[0.002352817,0.0006745915,0.0009394841,0.0008406326,0.0007170239,0.0004955478,0.0009926187,0.001117269,0.0007657033],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001761834,"about_ca_system_score_gemma":0.002605904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0268115,"about_ca_topic_score_gemma":0.02041567,"domain_scores_codex":[0.9997354,0.00008843178,0.000007953056,0.00002503257,0.00007587545,0.00006724719],"domain_scores_gemma":[0.9989273,0.0006045014,0.00005822424,0.00005922925,0.0002732795,0.00007743308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008453841,0.00002924561,0.0003747972,0.00003475994,0.00001824474,0.00003805833,0.00001471232,0.9959286,0.0002623101,0.001124639,0.0006395032,0.00145055],"study_design_scores_gemma":[0.00003011224,0.00001889791,0.00009522891,0.000004501374,0.000004172554,0.00000445933,0.00001286031,0.9989867,0.0001507759,0.0003228913,0.0003655367,0.000003907007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6427804,0.002312546,0.2090655,0.00333997,0.0006053246,0.0004859397,0.004083948,0.003371966,0.1339545],"genre_scores_gemma":[0.9335392,0.000296235,0.05642255,0.0003528548,0.00005375956,0.0004724124,0.001628025,0.0004850136,0.006749976],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0268115,"threshold_uncertainty_score":0.05331087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0612253018949618,"score_gpt":0.4003436336133889,"score_spread":0.3391183317184271,"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."}}