{"id":"W3130713873","doi":"10.1007/jhep06(2021)133","title":"Hunting wino and higgsino dark matter at the muon collider with disappearing tracks","year":2021,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Perimeter Institute","funders":"Natural Sciences and Engineering Research Council of Canada; Innovation, Science and Economic Development Canada; Institut Périmètre de physique théorique; Ministry of Colleges and Universities; Curtin University of Technology; Government of Canada; Generalitat Valenciana","keywords":"Muon; WIMP; Muon collider; Collider; Dark matter; Massive particle; Standard Model (mathematical formulation); Higgsino","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005306852,0.0001366747,0.0002309076,0.000006711406,0.0002497446,0.00007323912,0.00007747574,0.00001284961,0.00008014829],"category_scores_gemma":[0.000001260556,0.0000819736,0.00008557014,0.0001079317,0.0001823027,0.0001529822,0.0001392322,0.0001227816,0.000007193766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000230568,"about_ca_system_score_gemma":0.0000200881,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006613645,"about_ca_topic_score_gemma":0.000002103457,"domain_scores_codex":[0.9992322,0.00004252503,0.0002039437,0.0001254653,0.0001937132,0.000202163],"domain_scores_gemma":[0.9994899,0.00008242453,0.0001620738,0.0001096212,0.00008797744,0.00006798672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001428634,0.0004045003,0.1539145,0.00001458713,0.0006676052,0.00002737788,0.0007996758,0.0004338985,0.02382586,0.8063279,0.001100393,0.01234082],"study_design_scores_gemma":[0.001039474,0.00009709119,0.01053734,0.00009535244,0.0001689921,0.00003098014,0.001407511,0.00003910755,0.6105295,0.3741737,0.001594197,0.0002867198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9845881,0.0002718837,0.006229457,0.0007303336,0.00008340132,0.00001816424,0.000005026905,0.000003632152,0.008069953],"genre_scores_gemma":[0.9987188,0.0000101986,0.0003774082,0.0001180397,0.0004724514,0.000003126858,0.000003131307,0.00001661396,0.0002802481],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5867037,"threshold_uncertainty_score":0.3342786,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006449641149020979,"score_gpt":0.2162293678829037,"score_spread":0.2097797267338828,"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."}}