{"id":"W2910102873","doi":"10.1088/1748-0221/14/03/p03026","title":"Lithium-loaded liquid scintillator production for the PROSPECT experiment","year":2019,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Oak Ridge National Laboratory; Lawrence Livermore National Laboratory; Drexel University; Natural Sciences and Engineering Research Council of Canada; National Nuclear Security Administration; Office of Science; Yale University; Temple University; National Science Foundation; High Energy Physics; Brookhaven National Laboratory; U.S. Department of Energy","keywords":"Scintillator; Absorbance; Pulse (music); Characterization (materials science); Production (economics); Liquid scintillation counting","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":[0.0009174393,0.0005123138,0.0005216351,0.0005969543,0.0003785511,0.0005760238,0.0008374258,0.0004893445,0.002292803],"category_scores_gemma":[0.001237261,0.000355085,0.0003748401,0.0004456789,0.000440942,0.0006058716,0.0005214548,0.000637831,0.00141889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004367441,"about_ca_system_score_gemma":0.0004787091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005750657,"about_ca_topic_score_gemma":0.0009532424,"domain_scores_codex":[0.9992679,0.00008602306,0.00004772382,0.0001564577,0.0003776055,0.00006422787],"domain_scores_gemma":[0.9993095,0.0001432592,0.0001498062,0.0001563686,0.0001888181,0.00005220179],"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":[0.0001787447,0.000023565,0.0007224913,0.00005187152,0.000008042355,0.00008564688,0.00004088461,0.0002395114,0.9925176,0.0001568024,0.0001490035,0.005825816],"study_design_scores_gemma":[0.0000205333,0.0003965285,0.00119074,0.000005595292,0.00001701643,0.0001143661,0.00001492748,0.0009074506,0.9944594,0.00002415713,0.002837561,0.00001166659],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9204227,0.0004803388,0.07231399,0.0001185667,0.00007267696,0.0003853842,0.001205699,0.001715616,0.003284999],"genre_scores_gemma":[0.8912556,0.000387885,0.09894918,0.00008730739,0.00003457673,0.0003614905,0.002663949,0.0005229923,0.005737202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002292803,"threshold_uncertainty_score":0.007670224,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166610299772034,"score_gpt":0.2651911351369745,"score_spread":0.2535250321392541,"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."}}