{"id":"W2291651693","doi":"10.12943/cnr.2015.00049","title":"SITE SELECTION FOR CANADA’S NATIONAL REPOSITORY FOR USED NUCLEAR FUEL","year":2015,"lang":"en","type":"article","venue":"AECL Nuclear Review","topic":"Nuclear and radioactivity studies","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nuclear Waste Management Organization","funders":"","keywords":"Site selection; Plan (archaeology); Work (physics); Process (computing); Government (linguistics); Legislation; Indigenous; Spent nuclear fuel; Consistency (knowledge bases); Environmental planning; Environmental resource management; Engineering; Political science; Computer science; Geography; Ecology; Environmental science; Law","routes":{"ca_aff":true,"ca_fund":false,"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":[0.005605527,0.0005922407,0.0004432774,0.003389447,0.01362652,0.004232283,0.002065357,0.00131262,0.06044127],"category_scores_gemma":[0.007512832,0.0004806757,0.0007092573,0.003120222,0.00144907,0.001207453,0.003315692,0.0016485,0.01649744],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01997767,"about_ca_system_score_gemma":0.09758117,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7149386,"about_ca_topic_score_gemma":0.9403451,"domain_scores_codex":[0.9951227,0.0004018912,0.0001390137,0.0002676815,0.002885309,0.001183443],"domain_scores_gemma":[0.9873902,0.0006005429,0.0002096517,0.0005462929,0.008837445,0.00241594],"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":[0.0003648924,0.0003479016,0.01396818,0.0006624174,0.00001298907,0.002122343,0.009684509,0.0005329978,0.00712007,0.01175574,0.7190231,0.2344049],"study_design_scores_gemma":[0.00004769213,0.0001243879,0.0238462,0.0003154557,0.000009565207,0.0002267691,0.008368976,0.0003300563,0.00248036,0.0007894281,0.9633691,0.00009201143],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.1145085,0.003167652,0.05070155,0.01854978,0.003907196,0.04020771,0.02735859,0.004863843,0.7367352],"genre_scores_gemma":[0.2134663,0.00328174,0.1482493,0.006540294,0.000302905,0.015422,0.01818411,0.001377636,0.5931756],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.2850614,"threshold_uncertainty_score":0.5734802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02728163468309523,"score_gpt":0.2417001794602213,"score_spread":0.2144185447771261,"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."}}