{"id":"W4382457010","doi":"10.3390/su15097493","title":"Asset Management, Reliability and Prognostics Modeling Techniques","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Reliability and Maintenance Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Université du Québec à Trois-Rivières","keywords":"Prognostics; Maintainability; Reliability (semiconductor); Asset management; Asset (computer security); Risk analysis (engineering); Systems engineering; Physics of failure; Engineering; Computer science; Reliability engineering; Process management; Business; Computer security","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001246659,0.001269035,0.000857689,0.001842839,0.0005494939,0.001718695,0.001807053,0.001367455,0.00318597],"category_scores_gemma":[0.002935005,0.000468412,0.001167749,0.002150696,0.0007827624,0.002098273,0.001220322,0.001568513,0.001396261],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009938282,"about_ca_system_score_gemma":0.00137252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005362592,"about_ca_topic_score_gemma":0.002808549,"domain_scores_codex":[0.9993463,0.0002037185,0.00004865503,0.0001217934,0.0002357573,0.00004374522],"domain_scores_gemma":[0.9991923,0.0004190145,0.0001324847,0.00007333876,0.000160693,0.00002226121],"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":[0.00003013007,0.00005471963,0.002319755,0.0006968727,0.0001011554,0.0002357383,0.0002381632,0.6389179,0.002331994,0.2078923,0.007085891,0.1400952],"study_design_scores_gemma":[0.000008642823,0.0000570244,0.0009040682,0.0002252984,0.00006003302,0.0003338898,0.00009757955,0.7936735,0.001356763,0.1539518,0.04928778,0.00004371625],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005839258,0.01270037,0.9590344,0.002036183,0.0002335302,0.00008044577,0.0005849979,0.0006962476,0.01879456],"genre_scores_gemma":[0.5290698,0.05955005,0.3803656,0.0007908537,0.001471132,0.0007069011,0.00176243,0.0003963364,0.02588693],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.005362592,"threshold_uncertainty_score":0.01066279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006011840982856996,"score_gpt":0.2296390675938341,"score_spread":0.2236272266109771,"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."}}