{"id":"W4214725155","doi":"10.3390/min12030293","title":"Applying a Generalized FMEA Framework to an Oil Sands Tailings Dam Closure Plan in Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Minerals","topic":"Tailings Management and Properties","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Natural Resources Limited; Alberta Energy Regulator","keywords":"Tailings; Dam failure; Oil sands; Nuclear decommissioning; Tailings dam; Closure (psychology); Land reclamation; Failure mode and effects analysis; Plan (archaeology); Environmental science; Mining engineering; Engineering; Waste management; Geology; Asphalt","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"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":[0.003299387,0.001178187,0.0006447837,0.002697706,0.001231959,0.002467189,0.001607509,0.0009759231,0.003861335],"category_scores_gemma":[0.003780151,0.0005741924,0.001256592,0.00172528,0.001184385,0.0004738412,0.001175429,0.0009675417,0.0001589351],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.018665,"about_ca_system_score_gemma":0.02428344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8870444,"about_ca_topic_score_gemma":0.8944415,"domain_scores_codex":[0.9985415,0.0004844361,0.00004584281,0.0001586575,0.0004559349,0.0003137706],"domain_scores_gemma":[0.9982303,0.0008917766,0.0000800375,0.00003495439,0.0006671742,0.00009571527],"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":[0.00002299235,0.00002372511,0.001603858,0.00004482787,0.00002115361,0.00008659161,0.00007227497,0.9790684,0.0001770924,0.004624671,0.0005870881,0.0136673],"study_design_scores_gemma":[0.00001540751,0.00005307825,0.001671259,0.00005113645,0.00003611695,0.00001678387,0.0004122829,0.9896305,0.0002116077,0.004345933,0.003536025,0.00001981585],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3028349,0.002235396,0.6070575,0.001925241,0.0001589254,0.001965903,0.003106655,0.0009568887,0.07975864],"genre_scores_gemma":[0.7474225,0.000989318,0.2334455,0.0002142315,0.00003072931,0.0003219838,0.001681424,0.0001339927,0.01576039],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1129556,"threshold_uncertainty_score":0.2272415,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01386213639720969,"score_gpt":0.207592563916487,"score_spread":0.1937304275192773,"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."}}