{"id":"W7064236645","doi":"","title":"Combination of searches for invisible decays of the Higgs boson using 139 fb$^{-1}$ of proton-proton collision data at $\\\\sqrt{s} = 13$ TeV collected with the ATLAS experiment","year":2023,"lang":"en","type":"other","venue":"CERN Document Server (European Organization for Nuclear Research)","topic":"Magnetic confinement fusion research","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Agencia Nacional de Promoción Científica y Tecnológica; Fundação de Amparo à Pesquisa do Estado de São Paulo; Agencia Nacional de Investigación y Desarrollo; Austrian Science Fund; Danmarks Grundforskningsfond; Ministerstvo Školství, Mládeže a Tělovýchovy; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; CERN","keywords":"Higgs boson; Atlas (anatomy); Large Hadron Collider; Dark matter; ATLAS experiment; Atlas detector; Boson; Branching fraction; Standard Model (mathematical formulation); Weakly interacting massive particles","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":[0.003806535,0.0006489519,0.0008858914,0.00253795,0.000643047,0.001320797,0.000602647,0.0003600564,0.001931124],"category_scores_gemma":[0.002274263,0.0003959247,0.0008813379,0.002414667,0.0003930999,0.0003717549,0.001435933,0.0002570706,0.0005622129],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005059133,"about_ca_system_score_gemma":0.0005588974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194712,"about_ca_topic_score_gemma":0.00572306,"domain_scores_codex":[0.9961089,0.001243474,0.0002596569,0.0007919164,0.001292926,0.000303019],"domain_scores_gemma":[0.9975004,0.001278231,0.0003219525,0.0003610132,0.0003656177,0.0001727048],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.008039654,0.0008562832,0.6185063,0.0003372091,0.002647119,0.001523844,0.0003068845,0.01631212,0.2348547,0.004980997,0.002783679,0.1088512],"study_design_scores_gemma":[0.000437972,0.001872253,0.5293888,0.0000382449,0.001491035,0.00406891,0.000423187,0.06938628,0.3760965,0.005607544,0.01085805,0.0003311944],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9738877,0.0003232199,0.01554537,0.00007814108,0.00002323121,0.00005871302,0.002751743,0.0002413744,0.007090434],"genre_scores_gemma":[0.9836991,0.0001559624,0.01012337,0.0000437923,0.00002340339,0.00004730744,0.004431815,0.00008253279,0.001392669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003806535,"threshold_uncertainty_score":0.02013111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05019309894314476,"score_gpt":0.302735646110055,"score_spread":0.2525425471669103,"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."}}