{"id":"W2964378524","doi":"10.12716/1001.13.02.18","title":"Data Analysis to Evaluate Reliability of a Main Engine","year":2019,"lang":"en","type":"article","venue":"TransNav the International Journal on Marine Navigation and Safety of Sea Transportation","topic":"Maritime Navigation and Safety","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Reliability (semiconductor); Plan (archaeology); Component (thermodynamics); On board; Diesel engine; Engineering; Transport engineering; Marine engineering; Reliability engineering; Operations research; Automotive 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":[0.004535156,0.001163612,0.0008180731,0.006302528,0.0005567717,0.001524098,0.000834621,0.0006776613,0.002736357],"category_scores_gemma":[0.01599627,0.0002186653,0.001405419,0.004163644,0.0003909814,0.001166979,0.0006928602,0.0008362386,0.0009643597],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008451283,"about_ca_system_score_gemma":0.001536409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005570905,"about_ca_topic_score_gemma":0.003983378,"domain_scores_codex":[0.9950787,0.0008952334,0.0009874048,0.000797583,0.001970764,0.0002702428],"domain_scores_gemma":[0.9827955,0.007145142,0.002061417,0.001609399,0.006119213,0.0002693721],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001841157,0.002071309,0.4969927,0.002960592,0.001203179,0.00101549,0.001769921,0.06009715,0.02215734,0.004256772,0.01323413,0.3924002],"study_design_scores_gemma":[0.0001491056,0.003743769,0.6503013,0.0008171998,0.0006105395,0.001027596,0.004863087,0.2461924,0.04819568,0.00568893,0.03813205,0.0002781987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7524584,0.001679294,0.1630015,0.000598274,0.0002387229,0.003054082,0.0649218,0.002129076,0.01191888],"genre_scores_gemma":[0.8968571,0.0005287564,0.05745127,0.00008677958,0.00005990632,0.002303798,0.03978671,0.00009709912,0.002828505],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006302528,"threshold_uncertainty_score":0.02398449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01266354255509795,"score_gpt":0.2671112029225812,"score_spread":0.2544476603674832,"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."}}