{"id":"W4391389969","doi":"10.22323/1.441.0075","title":"Latest results from the DEAP-3600 experiment at SNOLAB","year":2024,"lang":"en","type":"article","venue":"","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; Carleton University; Arthur B. McDonald-Canadian Astroparticle Physics Research Institute","funders":"Science and Technology Facilities Council; Russian Science Foundation; Ministerio de Ciencia e Innovación; Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Queen's University; Consejo Nacional de Ciencia y Tecnología; Comunidad de Madrid; Fundación Marcos Moshinsky; Leverhulme Trust; Ministry of Advanced Education, Government of Alberta; Ontario Ministry of Research and Innovation; University of Alberta","keywords":"Photomultiplier; Cryostat; Detector; Physics; Neutron; Optics; Dark matter; Nuclear physics; Particle physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.006179478,0.001936348,0.001120281,0.002704036,0.002415405,0.003591319,0.001527505,0.001116054,0.01306518],"category_scores_gemma":[0.001991617,0.001015961,0.0008908329,0.002691203,0.0009924609,0.002585783,0.003535664,0.001953682,0.006197887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003306238,"about_ca_system_score_gemma":0.001878643,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01367022,"about_ca_topic_score_gemma":0.02653142,"domain_scores_codex":[0.9966968,0.0003492962,0.00008090145,0.0006648552,0.001803105,0.000404933],"domain_scores_gemma":[0.9968349,0.0002943659,0.000199579,0.0004868599,0.001346067,0.0008382127],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.01810037,0.002428274,0.08487418,0.004842132,0.001461923,0.001803069,0.00162091,0.009290981,0.14708,0.03525982,0.3932095,0.3000288],"study_design_scores_gemma":[0.0007112843,0.001067703,0.1180816,0.000443207,0.0005407554,0.000710914,0.0003711517,0.002398966,0.05755675,0.008739647,0.8090724,0.0003055128],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2390229,0.01944736,0.02655006,0.00934487,0.002568339,0.00129977,0.1962693,0.007100918,0.4983964],"genre_scores_gemma":[0.5194033,0.0139044,0.06957748,0.004061498,0.001519813,0.00108704,0.2538167,0.003244741,0.1333851],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01367022,"threshold_uncertainty_score":0.04370743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01172872361511163,"score_gpt":0.2363254786988861,"score_spread":0.2245967550837745,"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."}}