{"id":"W4392586323","doi":"10.5194/egusphere-egu24-3957","title":"Comprehensive analysis and risk assessment of tailings storage facilities in China&amp;#160;","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Geoscience and Mining Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Klohn Crippen Berger (Canada)","funders":"","keywords":"Tailings; China; Risk analysis (engineering); Risk assessment; Environmental science; Business; Waste management; Engineering; Computer science; Metallurgy; Geography; Materials science; Computer security; Archaeology","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":[0.0001694733,0.0002081477,0.000534258,0.0009845451,0.00001683134,0.00003622249,0.0002050351,0.0002533492,0.00007455415],"category_scores_gemma":[0.00002142733,0.0001945678,0.0001099195,0.0005041259,0.0001250006,0.00002618463,0.000666797,0.0007889561,0.000004549574],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006215309,"about_ca_system_score_gemma":0.00003716857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003614859,"about_ca_topic_score_gemma":0.001940672,"domain_scores_codex":[0.9989874,0.0000217954,0.0003106135,0.0003497665,0.0001356895,0.0001946806],"domain_scores_gemma":[0.9994453,0.00004638559,0.00005062526,0.0003923768,0.00003464692,0.0000306628],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004639004,0.00006809064,0.1762619,0.003682989,0.002803185,0.00003434097,0.008765354,0.7881715,0.003673648,0.002560478,0.0005715738,0.01340236],"study_design_scores_gemma":[0.0002810361,0.00007409094,0.3073718,0.0002554716,0.001108521,0.000004807067,0.003155771,0.6622238,0.0009673798,0.01851133,0.005167113,0.0008789704],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9821401,0.0009985382,0.01392218,0.00003679377,0.0002117287,0.000131263,0.0001148005,0.0003011535,0.002143495],"genre_scores_gemma":[0.9876297,0.0009532198,0.01071146,0.000002765165,0.000006863135,0.00002457249,0.00002463048,0.00001190697,0.000634933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1311099,"threshold_uncertainty_score":0.7934246,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01424827606465971,"score_gpt":0.2681463883619686,"score_spread":0.2538981122973089,"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."}}