{"id":"W7033882380","doi":"","title":"Search for magnetic monopoles and stable particles with high electric charges in (Formula presented.) TeV pp collisions with the ATLAS detector","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Papaya Research and Applications","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institut National de Physique Nucléaire et de Physique des Particules; Agencia Nacional de Promoción Científica y Tecnológica; Natural Sciences and Engineering Research Council of Canada; Agencia Nacional de Investigación y Desarrollo; Max-Planck-Gesellschaft; Bundesministerium für Bildung und Forschung; Israel Science Foundation; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Natural Science Foundation of China; Fundação de Amparo à Pesquisa do Estado de São Paulo; Austrian Science Fund; Danmarks Grundforskningsfond; Centre National de la Recherche Scientifique; Ministerstvo Školství, Mládeže a Tělovýchovy; Bundesministerium für Wissenschaft, Forschung und Wirtschaft; CERN","keywords":"Czech; Atlas (anatomy); Large Hadron Collider; Norwegian; Atlas detector; Karel","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.001026821,0.0004725523,0.0006677954,0.001552285,0.0009981357,0.002164831,0.0008080782,0.0009494337,0.005897579],"category_scores_gemma":[0.0005992494,0.000346984,0.0005996896,0.001702752,0.0003896557,0.0006407037,0.0009169446,0.0004975683,0.0008673151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004620542,"about_ca_system_score_gemma":0.0003132029,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005367922,"about_ca_topic_score_gemma":0.0007351205,"domain_scores_codex":[0.999744,0.00006027027,0.00000979627,0.00007525756,0.00004961467,0.00006111317],"domain_scores_gemma":[0.9997197,0.00009689992,0.00006584373,0.00002692721,0.00003010911,0.00006048485],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0196685,0.001147924,0.1981291,0.002561324,0.001366725,0.02221656,0.002409321,0.01570056,0.3406334,0.264207,0.02501891,0.1069406],"study_design_scores_gemma":[0.004776255,0.005958369,0.2452784,0.0003402575,0.002066078,0.02052809,0.003216083,0.2677655,0.2759494,0.1335211,0.03999085,0.000609675],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9542937,0.001775749,0.02082138,0.0005087811,0.0001696083,0.00007034445,0.001129357,0.0006501405,0.02058096],"genre_scores_gemma":[0.9918723,0.0001672736,0.003681442,0.00009214227,0.00005144891,0.00002306447,0.0007831186,0.00004342546,0.003285851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005897579,"threshold_uncertainty_score":0.01972938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04220239987619803,"score_gpt":0.3054340359216691,"score_spread":0.2632316360454711,"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."}}