{"id":"W2007562006","doi":"10.1063/1.3275662","title":"Cosmic Ray Inspection and Passive Tomography for SNM Detection","year":2009,"lang":"en","type":"article","venue":"AIP conference proceedings","topic":"Particle Detector Development and Performance","field":"Physics and Astronomy","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Atomic Energy (Canada); Carleton University; Public Safety Canada; Bentley (Canada); Advanced Applied Physics Solutions; Defence Research and Development Canada; Health Canada","funders":"Government of Canada","keywords":"Scintillator; Muon; Tracking (education); Detector; Physics; Cosmic ray; Throughput; Nuclear decommissioning; Port (circuit theory); Container (type theory); Nuclear engineering; Nuclear physics; Computer science; Optics; Mechanical engineering; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.000635902,0.0004532771,0.0003657643,0.0003075043,0.0002341276,0.0004800009,0.0006413452,0.0004046674,0.003122875],"category_scores_gemma":[0.001952017,0.0003138964,0.000282369,0.0003362943,0.0003443668,0.00088326,0.0003542247,0.0002958133,0.0004044458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009111358,"about_ca_system_score_gemma":0.0006423607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003822539,"about_ca_topic_score_gemma":0.006090691,"domain_scores_codex":[0.9997202,0.00009397861,0.000006187103,0.00003943167,0.0001223946,0.00001778084],"domain_scores_gemma":[0.9995261,0.00022529,0.00004769906,0.00005716152,0.0001194019,0.00002434752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001814797,0.0002808901,0.04378541,0.0004597199,0.0001167747,0.0006390357,0.0001921513,0.4648193,0.2623108,0.03902929,0.004706625,0.1818451],"study_design_scores_gemma":[0.00008248043,0.0004582803,0.008519584,0.00001797919,0.00003736102,0.0003190322,0.00002609113,0.949969,0.03387043,0.00288673,0.003786245,0.0000267618],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3420188,0.0004150452,0.6322095,0.0004500682,0.00006710222,0.0002088308,0.0002788465,0.002503849,0.02184793],"genre_scores_gemma":[0.9057715,0.0001295389,0.09066316,0.00004234933,0.00001267801,0.00004623669,0.0001880224,0.00008947374,0.003057061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003822539,"threshold_uncertainty_score":0.01044703,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01287104457684761,"score_gpt":0.2328574022251807,"score_spread":0.2199863576483331,"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."}}