{"id":"W2291420388","doi":"10.12943/anr.2015.00043","title":"CANADIAN NATIONAL NUCLEAR FORENSICS CAPABILITY PROJECT","year":2015,"lang":"en","type":"article","venue":"AECL Nuclear Review","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Nuclear Safety Commission; Defence Research and Development Canada; Royal Canadian Mounted Police; Canadian Nuclear Laboratories","funders":"Canadian Nuclear Safety Commission; Health Canada; Canadian Nuclear Laboratories; Department of Foreign Affairs and Trade, Australian Government","keywords":"Nuclear material; Preparedness; Nuclear weapon; Summit; National security; Nuclear terrorism; Computer security; Enriched uranium; Business; Political science; Computer science; Uranium; Law","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.006007005,0.0006671326,0.0004082237,0.00570575,0.005799837,0.003283921,0.002472353,0.001313736,0.01512678],"category_scores_gemma":[0.005582027,0.0002953378,0.0005253692,0.005576214,0.001792242,0.001267479,0.002066616,0.001116652,0.002485979],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05763556,"about_ca_system_score_gemma":0.2265321,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9540817,"about_ca_topic_score_gemma":0.9636959,"domain_scores_codex":[0.9962456,0.0003726954,0.00010035,0.0002340298,0.00264999,0.0003973131],"domain_scores_gemma":[0.9932972,0.0003406517,0.0001509714,0.0001574001,0.005644726,0.0004091171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005569907,0.0000690919,0.001358634,0.001876085,0.0000273871,0.0002930985,0.001000751,0.0006029985,0.0006306258,0.1388825,0.4936411,0.3615621],"study_design_scores_gemma":[0.000004209855,0.000008277645,0.001054153,0.0004124687,0.00001177889,0.00008063119,0.0002857714,0.00006435454,0.0002745863,0.001422123,0.9963713,0.00001045123],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.005018061,0.2350428,0.004486157,0.04317816,0.002231519,0.0006502834,0.004176321,0.0003410033,0.7048757],"genre_scores_gemma":[0.1051404,0.4441255,0.02195448,0.01361603,0.0005775883,0.0006159632,0.006094208,0.000194752,0.4076811],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9423645,"threshold_uncertainty_score":0.4181772,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04049024366614812,"score_gpt":0.2609892355539444,"score_spread":0.2204989918877963,"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."}}