{"id":"W4246801730","doi":"10.2172/1524808","title":"Fixed-Target Minicharge Searches: FerMINI and Neutrino Experiments [Slides]","year":2018,"lang":"en","type":"report","venue":"","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Fermilab; Detector; Physics; Large Hadron Collider; Nuclear physics; Neutrino; Particle physics; Sensitivity (control systems); Yield (engineering); Neutrino detector; Beam (structure); SIGNAL (programming language); Neutrino oscillation; Optics; Electronic engineering; Computer science; Engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003938622,0.0003703377,0.000443158,0.0001050642,0.000159809,0.0001033134,0.0002216594,0.0001361109,0.006041713],"category_scores_gemma":[0.000007070611,0.000323189,0.0001101477,0.0001224411,0.00008995678,0.000159229,0.0002093824,0.0002624158,0.0005140677],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005880389,"about_ca_system_score_gemma":0.0005504055,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001880531,"about_ca_topic_score_gemma":0.00000328077,"domain_scores_codex":[0.9980328,0.0000312902,0.0004173025,0.0004998163,0.0005002303,0.0005185766],"domain_scores_gemma":[0.9990225,0.00004494634,0.0001743974,0.000364404,0.0001847438,0.000208979],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000070764,0.0002970496,0.7416314,0.0003055902,0.0008328911,0.00001519759,0.0015767,3.871926e-7,0.002109145,0.0002957318,0.2205347,0.03233037],"study_design_scores_gemma":[0.0008643192,0.0001335033,0.03304594,0.0001818044,0.00005922034,0.000007269432,0.00026844,0.0001809438,0.1303138,0.0001751239,0.8337114,0.001058231],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6469246,0.0004033293,0.0000641836,0.000026718,0.0008529025,0.0003357773,0.00008174097,0.00006424025,0.3512465],"genre_scores_gemma":[0.9268264,0.0001368971,0.0008417641,0.00003793176,0.001574849,0.0001095688,0.0002236198,0.00005689628,0.07019212],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7085855,"threshold_uncertainty_score":0.999922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07082792586940673,"score_gpt":0.335400263651151,"score_spread":0.2645723377817443,"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."}}