{"id":"W1843827451","doi":"10.24908/pceea.v0i0.3821","title":"DESIGN FOR RELIABILITY AND MAINTAINABILITY USING FMECA: CASE STUDIES OF MOBILE UNDERGROUND MINING EQUIPMENT","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Quality and Safety in Healthcare","field":"Health Professions","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Maintainability; Failure mode, effects, and criticality analysis; Reliability (semiconductor); Reliability engineering; Engineering; Criticality; Truck; Failure mode and effects analysis; Automotive engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.003840381,0.0006079203,0.000384163,0.001338191,0.001016015,0.0007504241,0.001079893,0.001276472,0.001441095],"category_scores_gemma":[0.009077052,0.0003235312,0.0005659142,0.0006836519,0.0008742308,0.0006364426,0.0006215799,0.0008098917,0.0001550286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701842,"about_ca_system_score_gemma":0.0008359764,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005245827,"about_ca_topic_score_gemma":0.01133097,"domain_scores_codex":[0.9978544,0.001172261,0.00008786889,0.0001087927,0.0005719884,0.0002046138],"domain_scores_gemma":[0.9896924,0.007848195,0.00060378,0.0005132984,0.001152467,0.0001898518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001261153,0.003079611,0.07749861,0.001554358,0.0001690018,0.0113567,0.02171895,0.5571166,0.03744293,0.02540539,0.003592363,0.2598042],"study_design_scores_gemma":[0.000600923,0.0103583,0.06416104,0.0005578268,0.0002631845,0.0058204,0.02646424,0.7843701,0.06471113,0.01221916,0.03029018,0.0001835085],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9626922,0.0001544049,0.03162982,0.0002169079,0.000008840744,0.0003390968,0.00008198593,0.00004631194,0.004830487],"genre_scores_gemma":[0.9576757,0.0001753346,0.04013552,0.00001744516,0.000006089698,0.0001929745,0.00005827277,0.00001952409,0.001719163],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005245827,"threshold_uncertainty_score":0.02031016,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1524305965871802,"score_gpt":0.4066325095295799,"score_spread":0.2542019129423997,"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."}}