{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006904188,0.0003590654,0.0004088154,0.0005063026,0.0007276245,0.0013392,0.0005436192,0.0004376628,0.001134033],"category_scores_gemma":[0.001967158,0.0002700002,0.0002631051,0.0005352785,0.0005343874,0.0009169041,0.0009814902,0.0003128093,0.0001241736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000487746,"about_ca_system_score_gemma":0.0002672868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001774055,"about_ca_topic_score_gemma":0.002208779,"domain_scores_codex":[0.9997733,0.00006061479,0.000006997265,0.00004069057,0.00005531517,0.00006310417],"domain_scores_gemma":[0.9989595,0.0004707881,0.0002473406,0.00009983802,0.00007649089,0.0001460384],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.007269191,0.0007236102,0.4069957,0.0003958879,0.0008172183,0.008574844,0.001381956,0.2059949,0.1574418,0.1157688,0.004534922,0.09010117],"study_design_scores_gemma":[0.0002771374,0.001149283,0.06644339,0.00003120594,0.0002096334,0.001739269,0.0008516875,0.843717,0.04832149,0.03419267,0.002962459,0.0001048076],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902623,0.00008047849,0.00762477,0.00005582941,0.000007742718,0.000008188313,0.00005577262,0.00007796829,0.001826745],"genre_scores_gemma":[0.995789,0.00003011787,0.003180449,0.00001840277,0.000004757874,0.000005582926,0.0001006967,0.0000164617,0.0008545238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001774055,"threshold_uncertainty_score":0.003793716,"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."}}