{"id":"W4412751578","doi":"10.1088/1748-0221/20/07/p07049","title":"Photomultiplier requirements and pre-calibration for the SABRE South Liquid Scintillator Veto","year":2025,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Melbourne; Australian Government","keywords":"Scintillator; Photomultiplier; Calibration; Veto; Nuclear engineering; Nuclear physics; Physics; Optics; Materials science; Detector; Engineering","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":[0.002489481,0.0005747717,0.0006742827,0.0008974419,0.001144512,0.001355984,0.001666836,0.001157471,0.005726238],"category_scores_gemma":[0.006830033,0.000613867,0.0003752599,0.0007489581,0.0004715165,0.001441224,0.0007943765,0.0007961642,0.001502904],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001895364,"about_ca_system_score_gemma":0.001308576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003110172,"about_ca_topic_score_gemma":0.004007335,"domain_scores_codex":[0.996829,0.0003767211,0.0001517831,0.0004521711,0.001946765,0.0002435029],"domain_scores_gemma":[0.9949036,0.001994905,0.0005713192,0.0005285336,0.00188111,0.0001205699],"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":[0.00209402,0.00008701262,0.009639074,0.0002449656,0.00002994167,0.0001931682,0.0002813574,0.002546393,0.9547324,0.001601304,0.001115204,0.02743519],"study_design_scores_gemma":[0.00009829327,0.001379361,0.0151158,0.0000313748,0.0000449758,0.0003841004,0.0001254213,0.01491004,0.9551347,0.0002370991,0.01249123,0.00004768225],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947419,0.0007028797,0.09033637,0.0008046741,0.00007449933,0.000538494,0.001126748,0.003706913,0.007967535],"genre_scores_gemma":[0.9419479,0.0001734914,0.05000658,0.0002763631,0.00002408372,0.0003400865,0.001084708,0.0006295125,0.00551741],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005726238,"threshold_uncertainty_score":0.01915622,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0134145828040357,"score_gpt":0.2881542693213825,"score_spread":0.2747396865173468,"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."}}