{"id":"W1976084415","doi":"10.1108/eum0000000006007","title":"Optimizing a mine haul truck wheel motors’ condition monitoring program Use of proportional hazards modeling","year":2001,"lang":"en","type":"article","venue":"Journal of Quality in Maintenance Engineering","topic":"Machine Fault Diagnosis Techniques","field":"Engineering","cited_by":102,"is_retracted":false,"has_abstract":true,"ca_institutions":"PricewaterhouseCoopers (Canada); University of Toronto","funders":"","keywords":"Truck; Engineering; Work (physics); Automotive engineering; Reliability engineering; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00378446,0.0005431641,0.0006258633,0.0005076192,0.0003310835,0.0007112103,0.0007531045,0.0003375169,0.0007919076],"category_scores_gemma":[0.006611183,0.000416637,0.0004757645,0.0003521756,0.0002554659,0.0005747941,0.0005059846,0.0005901716,0.00009333425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001411479,"about_ca_system_score_gemma":0.002598622,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03252513,"about_ca_topic_score_gemma":0.02464208,"domain_scores_codex":[0.998858,0.0005985515,0.00003874006,0.0001654847,0.000209705,0.0001296665],"domain_scores_gemma":[0.9965037,0.002680708,0.0002682655,0.0001410536,0.0003348229,0.00007147422],"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":[0.0001601731,0.0001279952,0.007116872,0.00002842042,0.00004651453,0.00003326634,0.00005805013,0.9470305,0.001566627,0.0009429705,0.0001706341,0.04271799],"study_design_scores_gemma":[0.00001382734,0.00006579523,0.001102128,0.000001373038,0.00001221199,0.000005968975,0.00001330689,0.9971576,0.001148036,0.0003401545,0.0001357556,0.000003899697],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3937236,0.00008676408,0.603231,0.0002696213,0.000009757058,0.0002876386,0.0001627699,0.000692351,0.001536484],"genre_scores_gemma":[0.9187649,0.00003917024,0.08034079,0.00002092307,0.000004093034,0.00009370251,0.0001211499,0.00002001246,0.0005953718],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03252513,"threshold_uncertainty_score":0.06467164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03870898229259323,"score_gpt":0.3373679380428266,"score_spread":0.2986589557502333,"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."}}