{"id":"W6981059212","doi":"","title":"Development, characterisation, and deployment of the SNO+ liquid scintillator","year":2021,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Effects of Radiation Exposure","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Nuclear Physics; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Fundação para a Ciência e a Tecnologia; Science and Technology Facilities Council; Vale Canada Limited; Queen's University; Ontario Ministry of Research, Innovation and Science; Deutsche Forschungsgemeinschaft; National Nuclear Security Administration; U.S. Department of Energy; European Commission; Canadian Institute for Advanced Research; Northern Ontario Heritage Fund Corporation; Consejo Nacional de Ciencia y Tecnología; National Science Foundation","keywords":"Scintillator; Linear alkylbenzene; Yield (engineering); Detector; Attenuation; Liquid scintillation counting","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009083113,0.0004011274,0.0003496443,0.0003962623,0.0004044123,0.0005259921,0.0005919205,0.000467341,0.00177161],"category_scores_gemma":[0.000772529,0.000267352,0.0002223067,0.0003141862,0.0003873243,0.000355581,0.0003560482,0.0004307336,0.001477987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005206475,"about_ca_system_score_gemma":0.001070734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001896172,"about_ca_topic_score_gemma":0.002991731,"domain_scores_codex":[0.999639,0.00004012974,0.00002761593,0.00006657976,0.0001825917,0.00004406768],"domain_scores_gemma":[0.9996031,0.00006357318,0.00006143493,0.00003778913,0.0001920447,0.00004202403],"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":[0.00004782564,0.00001378603,0.0002273293,0.00004708103,0.000002560011,0.00006063807,0.00003351036,0.0001864227,0.9952543,0.0002424175,0.00008471022,0.003799352],"study_design_scores_gemma":[0.000007323715,0.0001487717,0.0004954687,0.000005596154,0.000005542896,0.00008299439,0.00001924279,0.00118548,0.9926643,0.0000219796,0.005355818,0.000007551368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7837533,0.001366937,0.2032509,0.0003089542,0.0001140032,0.001245121,0.001248251,0.001456113,0.007256403],"genre_scores_gemma":[0.7480479,0.002340876,0.2255399,0.0002189004,0.00004572646,0.0009182889,0.002943273,0.0006149367,0.01933024],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001896172,"threshold_uncertainty_score":0.005926609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01166761178150604,"score_gpt":0.2049944905928939,"score_spread":0.1933268788113879,"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."}}