{"id":"W2025449710","doi":"10.1016/j.nima.2012.12.053","title":"Photoneutron spectroscopy using monoenergetic gamma rays for bulk explosives detection","year":2012,"lang":"en","type":"article","venue":"Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University; Defence Research and Development Canada","funders":"","keywords":"Neutron; Physics; Gamma ray; Neutron stimulated emission computed tomography; Spectrometer; Neutron generator; Explosive material; Nuclear physics; Monte Carlo method; Neutron temperature; Neutron source; Bonner sphere; Gamma spectroscopy; Radiative transfer; Neutron detection; Detector; Neutron cross section; Optics; Chemistry","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":[0.0003410506,0.0007119885,0.0004949102,0.0009898046,0.0005404408,0.0008846296,0.0007406718,0.0007702076,0.007834247],"category_scores_gemma":[0.0003815239,0.0005221093,0.0002778929,0.000679726,0.0002732398,0.0008090336,0.000856664,0.0006268262,0.001575486],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004717669,"about_ca_system_score_gemma":0.0004555141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004434648,"about_ca_topic_score_gemma":0.001290541,"domain_scores_codex":[0.999763,0.00003209421,0.0000080926,0.00009193414,0.00006837174,0.00003652865],"domain_scores_gemma":[0.9997512,0.0001050903,0.00003085092,0.00003953233,0.00005175893,0.00002160913],"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":[0.0002223816,0.00003956923,0.001538142,0.0001150622,0.00002168672,0.0001408664,0.00005614784,0.0002376489,0.9834718,0.001297532,0.0003432673,0.01251589],"study_design_scores_gemma":[0.00003596758,0.0002425358,0.003614535,0.00002790682,0.00004453615,0.0007450411,0.00008253903,0.003294222,0.9855106,0.0007531921,0.005627785,0.00002118646],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8221871,0.004222572,0.1400775,0.0002858921,0.0001631043,0.000238783,0.001102111,0.0008753983,0.03084749],"genre_scores_gemma":[0.8778919,0.002355952,0.103196,0.0002085562,0.00002649491,0.0001590055,0.0006906032,0.0001680794,0.01530351],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007834247,"threshold_uncertainty_score":0.02620822,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07646248300756958,"score_gpt":0.4068428138304276,"score_spread":0.330380330822858,"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."}}