{"id":"W1986725487","doi":"10.1063/1.3661592","title":"The T2K Near Detectors","year":2011,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina; TRIUMF","funders":"","keywords":"Detector; Computer science; Telecommunications","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":[0.000141296,0.0001194195,0.00008574397,0.00001485558,0.0003922089,0.0001586099,0.0002786866,0.00002290668,0.0005838952],"category_scores_gemma":[0.000006883358,0.00008247756,0.00003833337,0.0001337042,0.0001124967,0.000242978,0.00005702239,0.0001315642,0.0002882422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009057654,"about_ca_system_score_gemma":0.0000604035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006805981,"about_ca_topic_score_gemma":0.000003113699,"domain_scores_codex":[0.9992591,0.000003192813,0.0001486896,0.0001576342,0.0001182495,0.0003131351],"domain_scores_gemma":[0.9996331,0.00001598489,0.00007091425,0.00008165555,0.000122497,0.00007581804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002734689,0.00002145514,0.9471651,0.000004649388,0.00003220944,2.251685e-7,0.004868023,2.069237e-8,0.003916126,0.01759889,0.0007368281,0.02562916],"study_design_scores_gemma":[0.0008912355,0.0002214038,0.7268856,0.00006327502,0.00004818309,0.000003151494,0.00361551,0.01235014,0.1566449,0.02471512,0.07362515,0.000936356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9420812,0.00001301409,0.0003023804,0.00008188732,0.0001237211,0.0001003001,0.000001243308,0.00005061586,0.05724565],"genre_scores_gemma":[0.9989755,0.000004737654,0.0003139884,0.00002637759,0.0000788438,0.00004614826,8.135462e-7,0.000009689378,0.0005439604],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2202795,"threshold_uncertainty_score":0.6393243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03108135145772836,"score_gpt":0.2295528233418314,"score_spread":0.198471471884103,"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."}}