{"id":"W2046099234","doi":"10.1080/17480930.2013.772698","title":"Reliability-based approach to the geotechnical design of tailings dams","year":2013,"lang":"en","type":"article","venue":"International Journal of Mining Reclamation and Environment","topic":"Geotechnical Engineering and Analysis","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Tailings; Tailings dam; Geotechnical engineering; Cohesion (chemistry); Reliability (semiconductor); Engineering; Factor of safety; Safety factor; Civil engineering; Hydraulic conductivity; Environmental science; Soil water; Soil science","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":[0.0004055033,0.00007241357,0.0001206303,0.00009730326,0.00001566267,0.00002346685,0.0001954814,0.00004412795,0.00003916767],"category_scores_gemma":[0.00007980979,0.00005074309,0.00005733132,0.00005058886,0.00002763692,0.00006749733,0.00002235249,0.0001194159,0.000008169472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005455656,"about_ca_system_score_gemma":0.000006135624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004315682,"about_ca_topic_score_gemma":2.429224e-8,"domain_scores_codex":[0.999202,0.00002135735,0.0003500934,0.00006564913,0.0002914378,0.00006950012],"domain_scores_gemma":[0.9996253,0.00009695184,0.00008174079,0.00009564001,0.00004585446,0.00005456773],"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":[0.000005114978,0.00002616041,0.00001930111,0.00000688926,0.00003401834,2.909804e-7,0.000135196,0.984026,0.007195619,0.00001854406,0.0003181363,0.008214719],"study_design_scores_gemma":[0.0001862648,0.00005336139,0.001662327,0.00004361497,0.00002064231,0.000009337104,0.0001280118,0.9937947,0.002005423,0.00007565384,0.001951827,0.00006887106],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.231922,0.00005471201,0.767005,0.0007954156,0.00007369069,0.00007062933,8.526889e-7,0.00001482018,0.00006291552],"genre_scores_gemma":[0.9570174,0.00006654493,0.0427788,0.00005687777,0.00004441174,0.000006902311,0.000001657735,0.000007661153,0.0000197484],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7250954,"threshold_uncertainty_score":0.2069243,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01013654908758803,"score_gpt":0.1980104060118215,"score_spread":0.1878738569242335,"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."}}