{"id":"W1982810192","doi":"10.1051/epjconf/20146611018","title":"Neutron and Gamma-ray Detection using a Cs<sub>2</sub>LiYCl<sub>6</sub>Scintillator","year":2014,"lang":"en","type":"article","venue":"EPJ Web of Conferences","topic":"Radiation Detection and Scintillator Technologies","field":"Physics and Astronomy","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Scintillator; Neutron; Neutron detection; Monte Carlo method; Physics; Nuclear engineering; Nuclear physics; Neutron temperature; Gamma ray; Radiation; Computational physics; Detector; Optics; Engineering","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":[0.000241597,0.00023955,0.0003615394,0.0002604371,0.0002020452,0.0001166085,0.0001612063,0.000130593,0.00003606403],"category_scores_gemma":[0.0000411935,0.0002211434,0.000114208,0.0002755034,0.0002163661,0.0002189433,0.000058474,0.0002113075,0.00002017052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002126656,"about_ca_system_score_gemma":0.0001511843,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006369001,"about_ca_topic_score_gemma":0.00005411629,"domain_scores_codex":[0.9986459,0.00008368299,0.0003883285,0.0003725062,0.0002287888,0.0002808213],"domain_scores_gemma":[0.9990634,0.0000954978,0.0003329632,0.0002714701,0.0001403957,0.00009623614],"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":[0.00002497985,0.00003154087,0.03706998,0.00002286399,0.00006575009,2.476568e-7,0.00008831047,0.0004993108,0.8006172,0.004443897,0.0000548342,0.1570811],"study_design_scores_gemma":[0.0005806442,0.0001763721,0.06070547,0.00004986057,0.00004707278,0.00000266852,0.000527243,0.03754703,0.8936563,0.002404586,0.003962278,0.000340546],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960183,0.0000592391,0.001750704,0.0001177057,0.0003968514,0.0001783858,0.000009380616,0.0001448688,0.001324585],"genre_scores_gemma":[0.999599,0.00003491685,0.00009709471,0.00002165783,0.000203951,0.00001339293,0.000001407918,0.0000170179,0.00001154428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1567406,"threshold_uncertainty_score":0.9017965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01244843174323387,"score_gpt":0.2237102586229544,"score_spread":0.2112618268797206,"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."}}