{"id":"W2992006076","doi":"10.22323/1.350.0182","title":"Dark sector searches in non-LHC experiments","year":2019,"lang":"en","type":"article","venue":"Proceedings of 7th Annual Conference on Large Hadron Collider Physics — PoS(LHCP2019)","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Russian Academy of Sciences; CERN; Istituto Nazionale di Fisica Nucleare; Ministry of Education and Science of the Russian Federation; Consejo Nacional de Ciencia y Tecnología; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; Joint Institute for Nuclear Research; Ministry of Education, Youth and Science; Ministerstvo Školství, Mládeže a Tělovýchovy; Fonds De La Recherche Scientifique - FNRS; Science and Technology Facilities Council; Ministero dell’Istruzione, dell’Università e della Ricerca; TRIUMF","keywords":"Large Hadron Collider; Dark matter; Physics; Particle physics; Nuclear 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":[0.01003002,0.001690779,0.001370949,0.004647357,0.001358128,0.003845549,0.001449738,0.001178631,0.01190233],"category_scores_gemma":[0.007230785,0.0006923404,0.001357588,0.003502398,0.001196517,0.003116506,0.003747702,0.0008999294,0.003517019],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001029207,"about_ca_system_score_gemma":0.0008981417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00111876,"about_ca_topic_score_gemma":0.001909683,"domain_scores_codex":[0.9948192,0.002118573,0.0002851881,0.0008726475,0.001125284,0.0007790836],"domain_scores_gemma":[0.9844213,0.006645844,0.001619723,0.003185635,0.002607815,0.001519733],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02179146,0.001757585,0.2599813,0.0126343,0.002686274,0.005757762,0.001793518,0.004276847,0.1628424,0.1075598,0.03900603,0.3799127],"study_design_scores_gemma":[0.002540723,0.004202262,0.2614262,0.002182784,0.003633188,0.01004847,0.001725431,0.01770731,0.3767326,0.09365627,0.2251593,0.0009855108],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.7345641,0.04102165,0.04049287,0.003291449,0.001307782,0.0004785226,0.0226411,0.002310989,0.1538915],"genre_scores_gemma":[0.9221164,0.008511675,0.02562504,0.001463013,0.000750738,0.0003510095,0.02742847,0.0004972753,0.01325634],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.01190233,"threshold_uncertainty_score":0.0530445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02047514457910644,"score_gpt":0.2672256549693506,"score_spread":0.2467505103902441,"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."}}