{"id":"W4392784137","doi":"10.1007/jhep02(2024)072","title":"Searching for millicharged particles with 1 kg of Skipper-CCDs using the NuMI beam at Fermilab","year":2024,"lang":"en","type":"article","venue":"Journal of High Energy Physics","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Snolab","funders":"","keywords":"Fermilab; Physics; Particle physics; Beam (structure); Tevatron; Nuclear physics; Large Hadron Collider; Optics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001891974,0.000119616,0.0002032464,0.00003399825,0.0001548838,0.00004987506,0.0001507692,0.0000163843,0.00002692114],"category_scores_gemma":[0.00000201704,0.00007143782,0.0001270241,0.0002001442,0.00005899377,0.0002333905,0.00003501399,0.0001191568,0.000001414334],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003533152,"about_ca_system_score_gemma":0.0001220886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004229517,"about_ca_topic_score_gemma":0.000003127085,"domain_scores_codex":[0.9991487,0.00002578191,0.0002787678,0.00009519207,0.0002344787,0.0002171005],"domain_scores_gemma":[0.9994134,0.0001224187,0.0001747754,0.0001135397,0.0001198895,0.00005603256],"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":[0.00113977,0.0005175848,0.03675726,0.0002892023,0.002679509,0.00002153327,0.006186882,0.06642931,0.3943127,0.3532245,0.001525363,0.1369164],"study_design_scores_gemma":[0.00081356,0.0002123442,0.001637558,0.0002342806,0.0001489612,0.00001145283,0.0001900229,0.01967717,0.9493632,0.02341425,0.00407819,0.0002190532],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9596691,0.0001909419,0.03972589,0.00009486208,0.0001796234,0.00004431015,0.00001304928,0.000006410921,0.00007584968],"genre_scores_gemma":[0.998037,0.00001120959,0.001159694,0.00002199747,0.0006447939,0.000005032105,0.000004174707,0.0000216834,0.00009442041],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5550505,"threshold_uncertainty_score":0.291315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02121213621406832,"score_gpt":0.2604581151530465,"score_spread":0.2392459789389782,"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."}}