{"id":"W4383218393","doi":"10.21468/scipostphysproc.12.069","title":"The DarkSide-20k TPC and underground argon cryogenic system","year":2023,"lang":"en","type":"article","venue":"SciPost Physics Proceedings","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto Nazionale di Fisica Nucleare; Natural Sciences and Engineering Research Council of Canada; Narodowe Centrum Nauki; Ministerio de Ciencia e Innovación; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Science and Technology Facilities Council; Ministero dell’Istruzione, dell’Università e della Ricerca; U.S. Department of Energy; Fundacja na rzecz Nauki Polskiej; Russian Science Foundation; National Science Foundation; Royal Society; Fundação de Amparo à Pesquisa do Estado de São Paulo; Agence Nationale de la Recherche","keywords":"Argon; Volume (thermodynamics); Dark matter; Physics; Computer science; Algorithm; Atomic physics; Particle physics; Thermodynamics","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":[0.001339104,0.000494831,0.0004519926,0.0007120618,0.001726983,0.00107121,0.001524428,0.0007330016,0.01800009],"category_scores_gemma":[0.0009246314,0.0004716495,0.0003056626,0.0006622993,0.0008839732,0.001445296,0.003120513,0.001625529,0.007035624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002268737,"about_ca_system_score_gemma":0.00353236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005279786,"about_ca_topic_score_gemma":0.006765972,"domain_scores_codex":[0.9990503,0.0001027826,0.0000244058,0.0001884971,0.0004370585,0.0001968782],"domain_scores_gemma":[0.9992335,0.00003673548,0.00003858513,0.0002035083,0.0002295178,0.0002581205],"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":[0.003626024,0.0005649355,0.01046187,0.0004840059,0.00008500058,0.001078821,0.001101992,0.009121243,0.3728963,0.1608226,0.3115757,0.1281815],"study_design_scores_gemma":[0.0005694249,0.0009937366,0.01037588,0.0000942515,0.0000518521,0.001103708,0.0002429324,0.04286021,0.1454139,0.009007172,0.7890382,0.0002487614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2977928,0.001224413,0.1982576,0.004686698,0.001885413,0.001399984,0.02713972,0.04201087,0.4256026],"genre_scores_gemma":[0.6830444,0.0006143472,0.1979006,0.001416758,0.0005022928,0.001815513,0.02686879,0.00367097,0.08416635],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01800009,"threshold_uncertainty_score":0.06021631,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008729017190332644,"score_gpt":0.219386962633152,"score_spread":0.2106579454428193,"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."}}