{"id":"W4397023902","doi":"10.1088/1748-0221/19/05/c05030","title":"Study of the energy calibration of the DEAP-3600 detector using Na-22 source data and simulations","year":2024,"lang":"en","type":"article","venue":"Journal of Instrumentation","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Science and Technology Facilities Council; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada; South East Physics Network; Alliance de recherche numérique du Canada; Leibniz-Gemeinschaft; Russian Science Foundation; Ministerio de Ciencia e Innovación; Comunidad de Madrid; Consejo Nacional de Ciencia y Tecnología; Canada First Research Excellence Fund; Queen's University; European Regional Development Fund; Fundacja na rzecz Nauki Polskiej; European Commission; Fundación Marcos Moshinsky; Leverhulme Trust; Ministry of Advanced Education, Government of Alberta; Ontario Ministry of Research and Innovation; University of Alberta","keywords":"Calibration; Detector; Energy (signal processing); Optics; Physics; Materials science","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009003353,0.00004720523,0.00007689046,0.00003795071,0.00006446162,0.00003985873,0.0001585071,0.00000516836,0.00001420658],"category_scores_gemma":[0.000003174702,0.00002812949,0.00003048273,0.0001295588,0.00002135128,0.0002994201,0.00008408738,0.00005790569,3.630078e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001550074,"about_ca_system_score_gemma":0.00006183777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001117671,"about_ca_topic_score_gemma":0.00001113936,"domain_scores_codex":[0.9994022,0.00006451421,0.0002778829,0.00005806379,0.000157059,0.00004029652],"domain_scores_gemma":[0.9995235,0.00003498897,0.0002483687,0.0001459827,0.00003438781,0.00001280215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009205425,0.0007464124,0.5870079,0.0001017633,0.0009610906,8.043856e-7,0.01544547,0.03868031,0.161121,0.001828341,0.0007374525,0.1932773],"study_design_scores_gemma":[0.005960794,0.0008621567,0.1350011,0.001029764,0.001891651,0.00004707397,0.04955033,0.6506994,0.1086171,0.04482558,0.0009530224,0.0005620277],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9891976,0.00002452993,0.01036695,0.00005414949,0.0001909778,0.00006778539,0.00003345099,0.000001301854,0.0000633176],"genre_scores_gemma":[0.9997836,5.761624e-7,0.00008765926,0.00003453556,0.00006944169,4.462286e-7,0.000003691775,0.000005254111,0.00001474134],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6120191,"threshold_uncertainty_score":0.1147087,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02488218451887766,"score_gpt":0.2792807605818594,"score_spread":0.2543985760629818,"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."}}