{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00127794,0.0007452118,0.0005485438,0.001013463,0.001682689,0.00214782,0.0009931031,0.001117792,0.03112288],"category_scores_gemma":[0.0008186541,0.0004577189,0.0005852088,0.001037497,0.000598454,0.001824523,0.001845264,0.0011519,0.006296239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001017662,"about_ca_system_score_gemma":0.0007270323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002033767,"about_ca_topic_score_gemma":0.007958112,"domain_scores_codex":[0.9997124,0.00002737093,0.000005526569,0.00005726057,0.00009648343,0.0001009456],"domain_scores_gemma":[0.9996362,0.00005463061,0.00002175614,0.00006886035,0.00006866441,0.0001498593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01488137,0.001023017,0.01585349,0.0008182921,0.0002903642,0.00134799,0.0008637559,0.002176743,0.08220407,0.08974723,0.4687932,0.3220005],"study_design_scores_gemma":[0.003790201,0.00403145,0.1039022,0.0008855391,0.0006265487,0.004113425,0.001685104,0.01591356,0.2024743,0.1565609,0.5053469,0.0006699193],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.4270215,0.00676753,0.01801661,0.01098099,0.002658145,0.0003871914,0.01037878,0.007682121,0.5161071],"genre_scores_gemma":[0.8281318,0.002457246,0.01379109,0.001660551,0.0009833674,0.0001586961,0.01121273,0.001287266,0.1403173],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03112288,"threshold_uncertainty_score":0.1041163,"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."}}