{"id":"W2789517931","doi":"10.1002/wene.289","title":"Technical and social problems of nuclear waste","year":2018,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Energy and Environment","topic":"Risk Perception and Management","field":"Social Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Global Affairs Canada","funders":"","keywords":"Nuclear power; Dispose pattern; Radioactive waste; Scrutiny; Opposition (politics); Spent nuclear fuel; Business; Nuclear industry; Waste disposal; Waste management; Environmental economics; Natural resource economics; Engineering; Political science; Politics; Economics; Law; Nuclear engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004401028,0.0001012637,0.0002143782,0.00003545942,0.0004713049,0.00001807762,0.0001113967,0.00006855567,0.000645431],"category_scores_gemma":[0.000003368167,0.00008334762,0.0000592938,0.00004262192,0.0009155921,0.00008963118,0.0005042852,0.00004646994,0.00002958696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003908062,"about_ca_system_score_gemma":0.000003798076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004676203,"about_ca_topic_score_gemma":0.0002234576,"domain_scores_codex":[0.9990908,0.0001342337,0.000258735,0.0002187504,0.0001389415,0.0001585652],"domain_scores_gemma":[0.9997028,0.000008995509,0.00009910767,0.0001167399,0.000005230682,0.00006714139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006408255,0.0003112157,0.0002118774,0.0002010231,0.00003781715,0.000002753534,0.05216692,0.000005605623,0.003547793,0.09811793,0.05103877,0.7942942],"study_design_scores_gemma":[0.0001144325,0.0001705948,0.0005680251,0.0001030529,0.00002301746,0.000001368159,0.002184394,0.00003289717,0.000008435865,0.001775996,0.9949094,0.0001083948],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3634614,0.0308868,0.008847136,0.05311855,0.001317885,0.003086033,0.00003282727,0.0003234291,0.5389259],"genre_scores_gemma":[0.9229221,0.07363146,0.0006792644,0.0003778756,0.0003298884,0.00004206786,0.000004466303,0.00001276654,0.002000123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9438706,"threshold_uncertainty_score":0.7067017,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648873513497867,"score_gpt":0.2939895468447447,"score_spread":0.267500811709766,"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."}}