{"id":"W2785227036","doi":"10.4314/jfas.v10i1.18","title":"A great reliability, causes a decrease of failures in the rotating machines","year":2018,"lang":"en","type":"article","venue":"Journal of Fundamental and Applied Sciences","topic":"Engineering Diagnostics and Reliability","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Mean time between failures; Reliability engineering; Spare part; Reliability (semiconductor); Weibull distribution; Engineering; Work (physics); Failure rate; Computer science; Operations management; Mechanical engineering; Statistics; Mathematics","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":[0.0006977484,0.0004173705,0.0003668785,0.0009665038,0.0003855981,0.0008309329,0.0003789813,0.0006454702,0.001769572],"category_scores_gemma":[0.002444635,0.0001821383,0.0003659668,0.000726696,0.0007934403,0.0008330354,0.0004648084,0.0006207381,0.0009109193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004707259,"about_ca_system_score_gemma":0.0005423064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004759108,"about_ca_topic_score_gemma":0.0003874397,"domain_scores_codex":[0.9993396,0.0001094879,0.00003279823,0.0001628934,0.0002997908,0.00005543722],"domain_scores_gemma":[0.9986922,0.0003894625,0.0003311656,0.000160574,0.0003800727,0.00004655284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000391772,0.0001883813,0.03644044,0.00202393,0.0001894247,0.001219306,0.0009838652,0.1068905,0.3238531,0.08177551,0.009545812,0.4364979],"study_design_scores_gemma":[0.00008746517,0.002636336,0.1624025,0.0006395635,0.0003879972,0.0161278,0.001847906,0.2460632,0.2389519,0.1603172,0.1701803,0.000357895],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2429752,0.01418032,0.7090471,0.002493451,0.0004568877,0.000105446,0.0005921781,0.001473444,0.02867587],"genre_scores_gemma":[0.9542778,0.004747068,0.03423087,0.0002583503,0.0002660124,0.00006335568,0.0002084119,0.0001113426,0.005836799],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001769572,"threshold_uncertainty_score":0.005919814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072648700520486,"score_gpt":0.242138453295023,"score_spread":0.2314119662898181,"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."}}