{"id":"W4399568330","doi":"10.1088/1742-6596/2776/1/012009","title":"Neutron transmission imaging system with a superconducting kinetic inductance detector","year":2024,"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":"TRIUMF","funders":"","keywords":"Kinetic inductance; Detector; Superconductivity; Nuclear physics; Kinetic energy; Physics; Transmission (telecommunications); Inductance; Neutron; Materials science; Nuclear engineering; Nuclear magnetic resonance; Optics; Condensed matter physics; Electrical engineering; Engineering; 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":[0.0007555759,0.0003976122,0.0006504668,0.0005343352,0.0003454606,0.0003786834,0.0007128399,0.0004989592,0.002502541],"category_scores_gemma":[0.0006963717,0.0003365048,0.0001567891,0.0004642101,0.0002379908,0.0006075603,0.00046162,0.0003811771,0.0007873955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004697695,"about_ca_system_score_gemma":0.0005596544,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007678443,"about_ca_topic_score_gemma":0.001249772,"domain_scores_codex":[0.9994175,0.0001107897,0.00006255059,0.0001539645,0.000220811,0.00003446116],"domain_scores_gemma":[0.9991979,0.0001545891,0.0001266424,0.00009309311,0.0003644823,0.00006335497],"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":[0.0001376134,0.0000220025,0.001266871,0.0001011895,0.00001065374,0.00008726901,0.00003717396,0.0003290142,0.992263,0.0003023463,0.0002877891,0.005155201],"study_design_scores_gemma":[0.00006107679,0.0003609879,0.003847397,0.00001738704,0.00005760969,0.000841547,0.00004574837,0.01809622,0.9709357,0.0001015438,0.005593084,0.00004165612],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.586822,0.0007721614,0.4028693,0.000240114,0.0001810359,0.0002704054,0.000894129,0.003198933,0.004751832],"genre_scores_gemma":[0.7322208,0.0002652879,0.2624436,0.0001500973,0.0000381312,0.0002395516,0.0005229096,0.0001676348,0.003952046],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002502541,"threshold_uncertainty_score":0.00837177,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01309445375528662,"score_gpt":0.2320923872774334,"score_spread":0.2189979335221467,"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."}}