{"id":"W3046784548","doi":"10.1088/1742-6596/1590/1/012036","title":"Kinetic inductance neutron detector operated at near critical temperature","year":2020,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"TRIUMF","funders":"","keywords":"Detector; Neutron; Nuclear physics; Neutron detection; Kinetic inductance; Physics; Electron; Kinetic energy; Monte Carlo method; Neutron temperature; Photon; Materials science; Computational physics; Optics; Inductance; Voltage","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":[0.0004055661,0.0002164235,0.0004226009,0.00031183,0.0002842988,0.0003467574,0.0004763585,0.0003359235,0.000807646],"category_scores_gemma":[0.0006445054,0.0002026866,0.0001204658,0.0002075296,0.0004384884,0.0005911765,0.0003252872,0.0002316953,0.0001873058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005601835,"about_ca_system_score_gemma":0.0003473263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005827611,"about_ca_topic_score_gemma":0.0008007357,"domain_scores_codex":[0.9996996,0.0000511228,0.00001611491,0.00008313716,0.0001131059,0.00003701683],"domain_scores_gemma":[0.999317,0.0002597712,0.0001313503,0.00006728896,0.0001794649,0.00004505571],"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":[0.0002625605,0.00001434131,0.00384101,0.00008931254,0.00001330353,0.0001352532,0.00006846217,0.001345472,0.9904392,0.001044611,0.000120267,0.002626181],"study_design_scores_gemma":[0.00001933618,0.0001424056,0.002147008,0.000006035017,0.00001535883,0.0001723853,0.0000218098,0.02289905,0.9734259,0.0001471522,0.0009876575,0.00001591497],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9740193,0.0004214817,0.02329295,0.00006483282,0.00003815595,0.00001975755,0.0001063943,0.0003650754,0.001671931],"genre_scores_gemma":[0.9947392,0.00004270175,0.004820053,0.00001260423,0.000003501044,0.000007575854,0.00003228743,0.00001200214,0.0003300112],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.000807646,"threshold_uncertainty_score":0.004064381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02045605632153319,"score_gpt":0.2532482722207992,"score_spread":0.232792215899266,"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."}}