{"id":"W2891067264","doi":"10.1016/j.nima.2018.11.115","title":"The GRIFFIN facility for Decay-Spectroscopy studies at TRIUMF-ISAC","year":2018,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Nuclear physics research studies","field":"Physics and Astronomy","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University; University of British Columbia; Simon Fraser University; University of Guelph; TRIUMF","funders":"British Columbia Knowledge Development Fund; Canada Foundation for Innovation; National Research Council Canada; Ontario Ministry of Research, Innovation and Science; TRIUMF; University of Guelph","keywords":"Spectrometer; Semiconductor detector; Nuclear physics; Griffin; Physics; Gamma spectroscopy; Detector; Nuclear astrophysics; Spectroscopy; Germanium; Optics; Optoelectronics; Silicon","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.003440384,0.0003906819,0.0005662115,0.0002359658,0.002910554,0.0004694404,0.0003129524,0.000104062,0.00008134072],"category_scores_gemma":[0.0002172604,0.00030037,0.0001604636,0.0009316615,0.001087245,0.0003080778,0.0008271116,0.0007697145,0.00000893122],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009795274,"about_ca_system_score_gemma":0.00006804634,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000197765,"about_ca_topic_score_gemma":0.00008867031,"domain_scores_codex":[0.9957415,0.0009558808,0.0005239808,0.0008056799,0.0007003714,0.001272542],"domain_scores_gemma":[0.9976771,0.001065533,0.0002080044,0.0003542186,0.0004582885,0.000236794],"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":[0.001093206,0.0007737405,0.02201295,0.0001162365,0.002540872,0.000001804207,0.006385515,0.00000259714,0.5033494,0.0102753,0.002889538,0.4505589],"study_design_scores_gemma":[0.00952175,0.006172441,0.02037968,0.0002657002,0.0001639308,0.0000028127,0.01969784,0.002744773,0.7430093,0.1369207,0.05926211,0.001858896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957886,0.0001769967,0.0005312651,0.0002948543,0.0005528883,0.001229685,0.00008631374,0.0000540753,0.001285307],"genre_scores_gemma":[0.9940698,0.0007107171,0.004050301,0.00003675707,0.0005119639,0.0002651245,0.0000120814,0.00005574324,0.0002874757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4487,"threshold_uncertainty_score":0.9999449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09069900472047107,"score_gpt":0.4408545197088937,"score_spread":0.3501555149884227,"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."}}