{"id":"W4405035549","doi":"10.48550/arxiv.2412.01880","title":"Long-lived vectors from electromagnetic cascades at SHiP","year":2024,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Dark Matter and Cosmic Phenomena","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Science; China Scholarship Council; Alliance de recherche numérique du Canada; Aspen Center for Physics; High Energy Physics; U.S. Department of Energy; Walter Burke Institute for Theoretical Physics; National Science Foundation","keywords":"Physics; Annihilation; Photon; Particle physics; Sensitivity (control systems); Nuclear physics; Dark photon; Production (economics); Gauge boson; Parameter space; Dark matter; Boson; Cascade; Gauge theory; Quantum mechanics; Engineering; Statistics","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":[0.0004861365,0.000547722,0.0003435978,0.0002712407,0.0004000569,0.000540835,0.0007853849,0.0006113295,0.00379689],"category_scores_gemma":[0.0010656,0.0002034873,0.0005255064,0.0004138935,0.0004472088,0.0005939541,0.0007285661,0.0006004119,0.0002848939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005981592,"about_ca_system_score_gemma":0.0004587308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004640974,"about_ca_topic_score_gemma":0.004057599,"domain_scores_codex":[0.9998156,0.00004620796,0.000003202838,0.00003023995,0.00004053887,0.00006419135],"domain_scores_gemma":[0.9995178,0.0002467204,0.00006853016,0.00004451146,0.00005389895,0.00006861491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001898135,0.0005001143,0.04356525,0.0001892991,0.0002014242,0.001444905,0.0002530246,0.8755444,0.01595629,0.04730185,0.005714972,0.007430354],"study_design_scores_gemma":[0.0002130253,0.0002534812,0.006971867,0.00001053685,0.00004392405,0.0001412912,0.00007961282,0.977398,0.00716039,0.005684371,0.002010888,0.00003259389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9633629,0.0001121693,0.008360782,0.0002169086,0.00004085777,0.0000522238,0.0012103,0.000431845,0.0262119],"genre_scores_gemma":[0.9954274,0.00005741422,0.002294094,0.0000494111,0.000009822658,0.00002838109,0.0006763519,0.00007067015,0.001386464],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004640974,"threshold_uncertainty_score":0.01270181,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03437446735588551,"score_gpt":0.1789349037952112,"score_spread":0.1445604364393257,"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."}}