{"id":"W2756899740","doi":"10.36487/acg_rep/1752_30_deng","title":"Reliability analysis and design of backfill in a cut-and-fill mining method","year":2017,"lang":"en","type":"article","venue":"Paste/Paste","topic":"Tailings Management and Properties","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Reliability (semiconductor); Computer science; Reliability engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000946676,0.0004914232,0.0006423591,0.0006690756,0.0002953378,0.0005132381,0.0007670847,0.0004633867,0.001096911],"category_scores_gemma":[0.001569707,0.0004120753,0.001010437,0.0002952593,0.0005185745,0.000613604,0.0005106279,0.0002981787,0.0001788393],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005450009,"about_ca_system_score_gemma":0.0009641842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00293837,"about_ca_topic_score_gemma":0.001572509,"domain_scores_codex":[0.9991053,0.000206173,0.00004546754,0.0001617364,0.0004042997,0.00007698972],"domain_scores_gemma":[0.9992595,0.0002417563,0.000146392,0.00008495789,0.0002386656,0.00002856795],"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":[0.00009264769,0.00003003994,0.003269261,0.0001528751,0.00003607342,0.0001593982,0.0001106704,0.9368395,0.01903283,0.003418718,0.0002067341,0.03665127],"study_design_scores_gemma":[0.000007106153,0.0001618558,0.0008678861,0.000009402494,0.00002471918,0.00007152907,0.00002474571,0.9928151,0.004688584,0.0008679552,0.0004516384,0.000009414231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1227291,0.0003156847,0.8738211,0.00007810487,0.0000126708,0.00009060669,0.00006633752,0.0003474714,0.002538888],"genre_scores_gemma":[0.9664586,0.0001519768,0.03248105,0.00001097467,0.000005629262,0.00009483367,0.00005175077,0.00002303929,0.0007222568],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00293837,"threshold_uncertainty_score":0.005842507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0286077072669444,"score_gpt":0.2552934018345119,"score_spread":0.2266856945675675,"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."}}