{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00035945,0.000167829,0.0003036038,0.00006607091,0.0001070977,0.00003119266,0.0001648775,0.00006400144,0.0001534667],"category_scores_gemma":[0.0001758245,0.0001542217,0.0001329993,0.0002418271,0.00005790362,0.0001630301,0.00003663838,0.0001947479,0.001031336],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000546754,"about_ca_system_score_gemma":0.000120039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006519558,"about_ca_topic_score_gemma":0.005815408,"domain_scores_codex":[0.9990198,0.00003478698,0.0001989889,0.0001808234,0.0002683983,0.0002972027],"domain_scores_gemma":[0.999371,0.00001984158,0.0000238423,0.0002328842,0.0001263517,0.0002261061],"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":[0.000002804353,0.00001519787,0.00006777049,0.0009186767,0.000106654,0.00001040756,0.0004480828,0.00004359708,0.00001201971,0.003927791,0.9747851,0.01966183],"study_design_scores_gemma":[0.0001099334,0.00002435455,0.0003067786,0.000238855,0.00003578588,0.00003140791,0.00008157871,0.0007403495,0.000001093691,0.0003284228,0.9978985,0.0002030038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04340121,0.1201472,0.00001630204,0.01423379,0.002599112,0.002897685,0.0002242543,0.002353007,0.8141274],"genre_scores_gemma":[0.9327615,0.05038791,0.005497416,0.009612493,0.0006627412,0.0000357965,0.00004121972,0.0004334184,0.0005674448],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8893604,"threshold_uncertainty_score":0.9997465,"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."}}