{"id":"W2945831372","doi":"10.1016/j.nima.2019.05.069","title":"The CsI ball ancillary detector array for TIP and TIGRESS at TRIUMF","year":2019,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":9,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; TRIUMF; University of Guelph; Simon Fraser University","funders":"British Columbia Knowledge Development Fund; National Research Council Canada; Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Detector; Charged particle; Physics; Ball (mathematics); Nuclear physics; Optics; Ion","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":[0.006290263,0.002097265,0.002475462,0.003611275,0.003927165,0.003747417,0.005599826,0.003233277,0.0903791],"category_scores_gemma":[0.003958813,0.002452629,0.002383285,0.003099538,0.001513805,0.004413835,0.0050258,0.004388224,0.04070511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006225203,"about_ca_system_score_gemma":0.009605296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0131919,"about_ca_topic_score_gemma":0.02187277,"domain_scores_codex":[0.992535,0.001087792,0.0001557131,0.001816141,0.003036034,0.001369282],"domain_scores_gemma":[0.9931124,0.0005691209,0.0005515967,0.00126244,0.003183807,0.001320638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.008243901,0.0005252776,0.016074,0.0009362116,0.0006273795,0.0009547837,0.0009060489,0.00485213,0.322785,0.02195677,0.4471774,0.1749611],"study_design_scores_gemma":[0.00120138,0.001565741,0.01237706,0.0002173122,0.0003337359,0.001783364,0.0002715387,0.03962958,0.2807576,0.003892751,0.657418,0.0005518547],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1008021,0.005368435,0.3849905,0.01334811,0.005773365,0.003404973,0.1145214,0.1182523,0.2535388],"genre_scores_gemma":[0.3283995,0.0007040199,0.4599764,0.00391842,0.0009192821,0.002419307,0.05198003,0.01451048,0.1371726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0903791,"threshold_uncertainty_score":0.3023482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04102870606657959,"score_gpt":0.3594458096341472,"score_spread":0.3184171035675676,"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."}}