{"id":"W7011295907","doi":"","title":"Measurement of neutron-proton capture in the SNO+ water phase","year":2020,"lang":"en","type":"article","venue":"Lancaster EPrints (Lancaster University)","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","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; Office of Science; Simon Fraser University; Ontario Ministry of Research, Innovation and Science; Queen's University; U.S. Department of Energy; European Commission; Deutsche Forschungsgemeinschaft; Fermilab; High Energy Physics; Ontario Ministry of Research and Innovation; Western Canada Research Grid; University of Alberta; Science and Technology Facilities Council; Strong; Canadian Institute for Advanced Research; Northern Ontario Heritage Fund Corporation; National Science Foundation; Compute Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Calibration; Cherenkov radiation; Neutron; Neutron capture; Detector; Neutron temperature; Neutron cross section; Water vapor; Coincidence","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":[0.0003268752,0.0003925049,0.0002721538,0.0005498428,0.0003998493,0.0004212764,0.0003558793,0.0002731474,0.002672589],"category_scores_gemma":[0.0007925573,0.0002395959,0.0001261822,0.0006097746,0.0003882635,0.0004350352,0.000558976,0.0003116493,0.0004803201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008526691,"about_ca_system_score_gemma":0.0005690221,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008052609,"about_ca_topic_score_gemma":0.01875143,"domain_scores_codex":[0.9997149,0.00002337779,0.00001051157,0.00007490553,0.0001015144,0.00007479738],"domain_scores_gemma":[0.9998106,0.00003476177,0.00003710319,0.00001090174,0.00008209226,0.00002455558],"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":[0.0007097693,0.00003549763,0.008437066,0.0001194691,0.00003641451,0.0001920515,0.000171464,0.000842174,0.9820843,0.0008078339,0.0003782654,0.006185566],"study_design_scores_gemma":[0.0000369738,0.0003789502,0.01920042,0.00001568546,0.00002537358,0.0001362471,0.0002222716,0.004753479,0.9687549,0.0001813462,0.006267616,0.00002656852],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884199,0.0002999954,0.004107527,0.00002907992,0.00001585319,0.00007266428,0.000899434,0.0001089843,0.006046472],"genre_scores_gemma":[0.990717,0.0003738113,0.002454658,0.00005621554,0.000006633124,0.00006570808,0.00122163,0.00007791071,0.005026462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008052609,"threshold_uncertainty_score":0.01601148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02971729194515619,"score_gpt":0.2215688420574209,"score_spread":0.1918515501122648,"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."}}