{"id":"W2980424983","doi":"10.1088/1742-6596/1293/1/012051","title":"Temperature dependent characteristics of neutron signals from a current-biased Nb nanowire detector with <sup>10</sup>B converter","year":2019,"lang":"en","type":"article","venue":"Journal of Physics Conference Series","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; TRIUMF","funders":"Japan Society for the Promotion of Science","keywords":"Neutron detection; Detector; Neutron; SIGNAL (programming language); Physics; Kinetic inductance; Superconductivity; Nuclear physics; Nuclear magnetic resonance; Materials science; Optics; Inductance; Condensed matter physics; Voltage; Computer science","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":[0.000355037,0.000208133,0.0003006705,0.0001752045,0.0001977563,0.0003243923,0.0005602249,0.0005029001,0.001105021],"category_scores_gemma":[0.001024951,0.0001907111,0.0001293011,0.0002089678,0.0002954088,0.0004741749,0.00017349,0.0003129465,0.0003381927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003293147,"about_ca_system_score_gemma":0.0001629482,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005600992,"about_ca_topic_score_gemma":0.0009585264,"domain_scores_codex":[0.9996023,0.0000628995,0.00001479528,0.00009394754,0.0001936052,0.00003246526],"domain_scores_gemma":[0.9989185,0.000338267,0.0002400393,0.00006988167,0.0003794547,0.00005372709],"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":[0.0002428512,0.00001758925,0.001835129,0.00003126229,0.00001154649,0.0001322147,0.00007457084,0.0003051157,0.9953725,0.0002233724,0.00009751245,0.001656409],"study_design_scores_gemma":[0.00001083182,0.0001817081,0.005121111,0.000007628167,0.00001669276,0.0002912271,0.00004331698,0.01015566,0.9834443,0.00005831411,0.0006574411,0.00001177091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9892022,0.0002281108,0.00854583,0.0001035909,0.0000322279,0.000008816635,0.000123418,0.0001751787,0.001580649],"genre_scores_gemma":[0.9949753,0.00008143008,0.003464211,0.00003048594,0.000007078442,0.000006940877,0.00007476564,0.00003687498,0.001322821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001105021,"threshold_uncertainty_score":0.00369662,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009671511737594663,"score_gpt":0.2195449953113592,"score_spread":0.2098734835737645,"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."}}