{"id":"W7113034628","doi":"","title":"Assessing Naval Aviation Maintenance Safety Error Reporting, Data Management, and Trend Analysis","year":2000,"lang":"","type":"article","venue":"Calhoun: The Naval Postgraduate School Institutional Archive (Naval Postgraduate School)","topic":"Engineering and Test Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Trend analysis; Aviation; Aviation safety; Marine safety; Aircraft maintenance; Human error","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01159713,0.0004417816,0.0003771732,0.004078206,0.0004459824,0.001791977,0.000691472,0.0005430828,0.0007283398],"category_scores_gemma":[0.05518852,0.0002886475,0.0005030171,0.003599811,0.0001729643,0.001944349,0.0006808508,0.0004902243,0.0002198768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001740337,"about_ca_system_score_gemma":0.00407129,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0957625,"about_ca_topic_score_gemma":0.1237824,"domain_scores_codex":[0.9947744,0.001692671,0.0007023761,0.0003405656,0.002254919,0.0002351171],"domain_scores_gemma":[0.9605302,0.01740407,0.004605027,0.001418307,0.01540247,0.0006398763],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002402361,0.0002732317,0.8053243,0.00006936808,0.0001811955,0.00003852257,0.0004552844,0.003244966,0.001091007,0.0002651887,0.002069563,0.1867473],"study_design_scores_gemma":[0.00005320626,0.0007533921,0.8754247,0.00008373801,0.0004583857,0.0001113216,0.001597601,0.1141741,0.003129422,0.0005962363,0.003573074,0.00004487601],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9788358,0.0005492705,0.01429429,0.001028021,0.00005345621,0.0002204042,0.001560556,0.0002387649,0.003219452],"genre_scores_gemma":[0.9644661,0.0005026399,0.03176992,0.00005858457,0.0000359208,0.0001143738,0.001679413,0.00002405893,0.001349122],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0957625,"threshold_uncertainty_score":0.1904102,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0478870620346191,"score_gpt":0.2943349950204744,"score_spread":0.2464479329858554,"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."}}