{"id":"W2810067380","doi":"10.1103/physrevlett.118.061801","title":"Search for Magnetic Monopoles with the MoEDAL Forward Trapping Detector in 13 TeV Proton-Proton Collisions at the LHC","year":2017,"lang":"en","type":"article","venue":"Physical Review Letters","topic":"Particle physics theoretical and experimental studies","field":"Physics and Astronomy","cited_by":85,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Université de Montréal; Concordia University; University of Alberta","funders":"Instituto Nazionale di Fisica Nucleare; Science and Technology Facilities Council; Natural Sciences and Engineering Research Council of Canada; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; CERN; Generalitat Valenciana; King's College London; University of Alberta; National Science Foundation; Queen Mary University of London; Ministerio de Economía y Competitividad","keywords":"Physics; Large Hadron Collider; Nuclear physics; Magnetic monopole; Proton; Trapping; Detector; Collider; Particle physics; Proton Synchrotron","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":[0.0001906647,0.0002082852,0.0003376273,0.000008106739,0.0008789542,0.00009777292,0.0004655989,0.000005760165,0.00002975797],"category_scores_gemma":[0.00001092881,0.00009968974,0.0002013982,0.00008734207,0.0006109313,0.0001016791,0.0002266261,0.0001776178,0.00004197218],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003692012,"about_ca_system_score_gemma":0.00001429846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001198465,"about_ca_topic_score_gemma":0.000003473192,"domain_scores_codex":[0.9988284,0.00008325183,0.0001715445,0.0002820335,0.0002185002,0.0004162657],"domain_scores_gemma":[0.9990611,0.0002478558,0.00009175258,0.0004987855,0.00002853208,0.00007197705],"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":[0.001288028,0.002561554,0.2323624,0.0039968,0.0009845665,0.00001108051,0.006824499,0.001011835,0.51224,0.09442624,0.007585198,0.1367078],"study_design_scores_gemma":[0.002406789,0.0006009379,0.006699837,0.001943304,0.0003004786,0.000001098331,0.0006051593,0.007021296,0.954857,0.00777576,0.01690546,0.0008829014],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9699295,0.0008836273,0.0004422431,0.02441544,0.00002003112,0.003735264,0.00002520347,0.00001041318,0.0005382574],"genre_scores_gemma":[0.9939136,0.00007668217,0.00002591774,0.0007601223,0.0002110107,0.00497201,0.000003895931,0.00002009513,0.00001668885],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.442617,"threshold_uncertainty_score":0.6760294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02452855951933594,"score_gpt":0.3234899412246242,"score_spread":0.2989613817052882,"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."}}