{"id":"W4389767944","doi":"10.48550/arxiv.2312.07712","title":"The DEAP-3600 liquid argon optical model and NEST updates","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","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":"Scintillation; Rayleigh scattering; Refractive index; Detector; Optics; Argon; Photon; Scattering; Physics; Computational physics; Materials science; Atomic physics","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":[0.0008272995,0.0007295576,0.0005479716,0.0005582072,0.0006089209,0.001165509,0.002295571,0.0008880177,0.007743169],"category_scores_gemma":[0.002192488,0.0005616155,0.0008321302,0.0007091272,0.0003114699,0.001703751,0.0007547023,0.001135637,0.002357733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001540281,"about_ca_system_score_gemma":0.002052219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02187525,"about_ca_topic_score_gemma":0.01739204,"domain_scores_codex":[0.9994881,0.00008363898,0.00002357967,0.00006962314,0.0002938067,0.00004122683],"domain_scores_gemma":[0.9992715,0.0001945142,0.00005040614,0.000148685,0.000298547,0.00003640645],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002534925,0.0001026262,0.00613053,0.0001621776,0.00005100465,0.0001387228,0.0001422895,0.8818566,0.00616214,0.0490354,0.02289496,0.03307009],"study_design_scores_gemma":[0.00003324515,0.00003117524,0.0005235393,0.00001665443,0.00001332592,0.00004543908,0.00001424732,0.9424729,0.003957167,0.004692723,0.04817614,0.0000234057],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.1601248,0.0007621305,0.6177667,0.001559758,0.0005643396,0.0006541061,0.04207167,0.02883686,0.1476597],"genre_scores_gemma":[0.5569166,0.000865628,0.3652093,0.0004149237,0.0001138765,0.001257309,0.02894286,0.005769937,0.0405096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02187525,"threshold_uncertainty_score":0.04349589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06569938759617326,"score_gpt":0.1761123079336094,"score_spread":0.1104129203374361,"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."}}