{"id":"W4320721233","doi":"10.1140/epjc/s10052-023-11536-5","title":"Constraining light thermal inelastic dark matter with NA64","year":2023,"lang":"en","type":"article","venue":"The European Physical Journal C","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Perimeter Institute; Institute of Particle Physics","funders":"High Energy Physics; Agencia Estatal de Investigación; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Office of Science; Natural Sciences and Engineering Research Council of Canada; Institut Périmètre de physique théorique; Eidgenössische Technische Hochschule Zürich; Ministero dello Sviluppo Economico; European Commission; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Government of Canada; CERN","keywords":"Dark matter; Physics; Thermal; Astrophysics; Thermodynamics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005179195,0.0009762071,0.0008318872,0.001934442,0.0008667867,0.00251935,0.001507494,0.0006740556,0.00457806],"category_scores_gemma":[0.006587154,0.0005191047,0.0008247041,0.001672464,0.001141201,0.002027756,0.003636643,0.001189089,0.001035921],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966162,"about_ca_system_score_gemma":0.000571978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002481472,"about_ca_topic_score_gemma":0.004140581,"domain_scores_codex":[0.9980637,0.0009101874,0.00009052889,0.0003170388,0.0003942677,0.0002241901],"domain_scores_gemma":[0.9939272,0.001784419,0.001369343,0.001791175,0.000602228,0.0005255069],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.004816443,0.0004902299,0.3628751,0.0006702042,0.0006918158,0.001240328,0.001731476,0.09157413,0.1147159,0.3368622,0.005500931,0.07883122],"study_design_scores_gemma":[0.0003302024,0.0009605123,0.124501,0.0002823138,0.0004098203,0.0008808245,0.00117198,0.4929652,0.1008557,0.2350334,0.04214534,0.0004637809],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8570539,0.0004102166,0.1121617,0.0005374905,0.00005213088,0.0000575599,0.00296256,0.0008462654,0.0259182],"genre_scores_gemma":[0.9829862,0.00006837811,0.01328005,0.0001076289,0.00002194309,0.00003764016,0.002182617,0.0001515126,0.001164212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005179195,"threshold_uncertainty_score":0.02739054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01033320038987225,"score_gpt":0.2186461922205113,"score_spread":0.208312991830639,"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."}}