{"id":"W2789057144","doi":"10.1103/physrevd.98.102006","title":"DarkSide-50 532-day dark matter search with low-radioactivity argon","year":2018,"lang":"en","type":"article","venue":"Physical review. D/Physical review. D.","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":278,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Nuclear Physics; Institut National de Physique Nucléaire et de Physique des Particules; Fermilab; Labex UnivEarthS; Instituto Nazionale di Fisica Nucleare; Russian Science Foundation; Istituto Nazionale di Fisica Nucleare; Narodowe Centrum Nauki; U.S. Department of Energy; Fundacja na rzecz Nauki Polskiej; Fundação de Amparo à Pesquisa do Estado de São Paulo; Office of Science; Agence Nationale de la Recherche; National Science Foundation","keywords":"Physics; WIMP; Dark matter; Time projection chamber; Argon; Nuclear physics; Astrophysics; Atomic physics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007721065,0.0003181123,0.0004149699,0.0006901244,0.0007049604,0.0008367666,0.0004470931,0.0005475366,0.004117554],"category_scores_gemma":[0.0003850007,0.0003330545,0.0004485772,0.0004197557,0.0002783718,0.0003425888,0.0009540733,0.000274722,0.0007524631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005349406,"about_ca_system_score_gemma":0.000492025,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002170463,"about_ca_topic_score_gemma":0.006698261,"domain_scores_codex":[0.9996156,0.00007993766,0.00000857616,0.000118022,0.00007463796,0.0001033215],"domain_scores_gemma":[0.9997185,0.00005632798,0.00004787259,0.00006538387,0.00003297243,0.00007884212],"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":[0.008150444,0.0006223571,0.2358807,0.0002669085,0.0005025017,0.002224355,0.0007343887,0.004778066,0.6551057,0.02238633,0.006245579,0.06310271],"study_design_scores_gemma":[0.0009968012,0.002364076,0.3284215,0.00005905054,0.0006175601,0.003526447,0.000473149,0.05716059,0.5490151,0.01077216,0.04637576,0.0002177653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9672472,0.0002594189,0.01150963,0.0002327996,0.00002003621,0.00004269548,0.0008511477,0.0004415412,0.01939557],"genre_scores_gemma":[0.9900794,0.00004103621,0.005802261,0.00006927705,0.0000101406,0.0000135015,0.0006926212,0.0000497563,0.003241987],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004117554,"threshold_uncertainty_score":0.01377457,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01104914128171919,"score_gpt":0.3674017809735137,"score_spread":0.3563526396917945,"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."}}