{"id":"W2969242421","doi":"10.4050/f-0075-2019-14602","title":"CH146 Structural Usage Monitoring","year":2019,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bell (Canada)","funders":"","keywords":"Airworthiness; Aeronautics; Certification; Baseline (sea); Aviation; Software; Aircraft maintenance; Government (linguistics); Computer science; Engineering; Transport engineering; Aerospace engineering; Operating system","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":[0.0005939501,0.0006851932,0.0004230336,0.002614475,0.000652982,0.0005549285,0.001011362,0.0005104056,0.02159068],"category_scores_gemma":[0.001287929,0.0002682976,0.0002222648,0.00152333,0.0001899558,0.0005918375,0.0007576499,0.0004992282,0.007931286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007287206,"about_ca_system_score_gemma":0.001023306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02120662,"about_ca_topic_score_gemma":0.03863887,"domain_scores_codex":[0.9988124,0.00005363916,0.00003225459,0.0001624095,0.0008640789,0.00007522567],"domain_scores_gemma":[0.9980059,0.0001494593,0.000155154,0.0002988057,0.001286855,0.0001038419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007253118,0.0002852499,0.06428678,0.0005731028,0.00006109727,0.0003312047,0.0006615361,0.01407971,0.1978844,0.00307665,0.1411383,0.5768967],"study_design_scores_gemma":[0.0001347535,0.001188415,0.3721143,0.0002850867,0.00008960937,0.000924732,0.0006099844,0.1564698,0.1939419,0.001729686,0.2722697,0.000241985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.3783775,0.0006955305,0.2604536,0.0003280322,0.0003207608,0.002828885,0.07566497,0.0458738,0.235457],"genre_scores_gemma":[0.7298484,0.000380443,0.1243437,0.0002223095,0.0000837417,0.001138254,0.06140595,0.001598162,0.0809791],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02159068,"threshold_uncertainty_score":0.07222801,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01959103868769269,"score_gpt":0.2689892912337088,"score_spread":0.2493982525460161,"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."}}