{"id":"W2183298644","doi":"","title":"Canada’s Deep Geological Repository For Used Nuclear Fuel –The Geoscientific Site Evaluation Process","year":2013,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Site selection; Spent nuclear fuel; Containment (computer programming); Radioactive waste; Process (computing); Government (linguistics); Engineering; Environmental science; Mining engineering; Environmental resource management; Computer science; Waste management; Political science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004434044,0.0001485169,0.0001496615,0.00002902183,0.0003824767,0.0001130596,0.0001635203,0.00007382839,0.000005572952],"category_scores_gemma":[0.0002849172,0.0001118685,0.00004898185,0.00007667807,0.00005787031,0.0001430061,0.0000228444,0.0001690079,0.00003575495],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001328572,"about_ca_system_score_gemma":0.00007368282,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.2484293,"about_ca_topic_score_gemma":0.4613214,"domain_scores_codex":[0.9988062,0.00003367235,0.0002384426,0.0002303987,0.0003516127,0.0003396135],"domain_scores_gemma":[0.9992515,0.000236335,0.00007225194,0.0001971416,0.0001681251,0.00007461297],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0000436269,0.0002149284,0.03543675,0.001056694,0.000477601,0.00003325877,0.01011652,0.7817704,0.03470382,0.00006449183,0.1239831,0.01209885],"study_design_scores_gemma":[0.0006788267,0.0000623975,0.6184049,0.00009582385,0.0001564838,0.00003090362,0.001747694,0.3512464,0.001271519,0.0002709439,0.02541682,0.000617275],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893848,0.0002464165,0.00001093576,0.000469917,0.0006902715,0.0005336475,0.000004992933,0.0001622657,0.008496768],"genre_scores_gemma":[0.9992763,0.000005727455,0.0002040714,0.00009185237,0.000162908,0.00006962663,0.000007912635,0.00003078949,0.0001507455],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5829681,"threshold_uncertainty_score":0.7565755,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0155379248858321,"score_gpt":0.2222550742870571,"score_spread":0.206717149401225,"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."}}