{"id":"W3046817275","doi":"10.1088/1742-6596/1590/1/012033","title":"Energy-Resolved Neutron Imaging using a Delay Line Current-Biased Kinetic-Inductance Detector","year":2020,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; TRIUMF","funders":"","keywords":"Physics; Meander (mathematics); Neutron; Detector; Optics; Kinetic inductance; Kinetic energy; Inductance; Neutron detection; Materials science; Voltage; Nuclear physics; Geometry","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":[0.00004738683,0.0002163531,0.0003357559,0.00002764445,0.0001390635,0.0001476656,0.0003076163,0.00001750567,0.0001049461],"category_scores_gemma":[0.000004211457,0.0002028476,0.0001907377,0.0002496947,0.00009030834,0.0005377937,0.00007314776,0.0003186702,0.000006699228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001922544,"about_ca_system_score_gemma":0.0002010905,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002928405,"about_ca_topic_score_gemma":0.000001009977,"domain_scores_codex":[0.9988841,0.00003720652,0.0004084494,0.0001950049,0.0002288444,0.000246381],"domain_scores_gemma":[0.9986723,0.00002818322,0.0005309334,0.0001756693,0.0004078901,0.0001850229],"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":[0.00007049151,0.0001732539,0.0007926977,0.00002216151,0.00008585385,0.000003774551,0.0005582619,0.0004687417,0.583486,0.1816714,0.0002343495,0.232433],"study_design_scores_gemma":[0.00240333,0.000416978,0.0006414184,0.0003972762,0.00038939,0.00001462063,0.001633222,0.0414664,0.7721995,0.1424773,0.03674513,0.001215451],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3809461,0.0002309941,0.6161366,0.001255817,0.0003267367,0.000135724,0.00008564209,0.00003304728,0.0008492803],"genre_scores_gemma":[0.9949647,0.00001541491,0.002852132,0.00009139045,0.002023091,0.00000369179,0.00001008001,0.00003181072,0.000007669449],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6140186,"threshold_uncertainty_score":0.8271885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03815259265502639,"score_gpt":0.2698337074058301,"score_spread":0.2316811147508037,"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."}}