{"id":"W2970826460","doi":"10.4050/f-0075-2019-14613","title":"Progress Towards Autonomous Structural Health Management","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":"Lockheed Martin (Canada)","funders":"","keywords":"Airframe; Structural health monitoring; Missile; Aerospace; Reliability engineering; Systems engineering; Key (lock); Engineering; Aircraft maintenance; Computer science; Risk analysis (engineering); Aeronautics; Aerospace engineering; Computer security; Structural 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115226,0.00008743148,0.0001033994,0.00004999026,0.0000261456,0.00001408526,0.00006011317,0.00001987211,0.0003198677],"category_scores_gemma":[5.427336e-7,0.00007575408,0.00002865972,0.00008948149,0.000009454804,0.00007874318,0.0000150186,0.00006206072,0.00009058434],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001089326,"about_ca_system_score_gemma":0.000006551313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002791412,"about_ca_topic_score_gemma":0.000002317889,"domain_scores_codex":[0.9994476,0.00001185247,0.0001207685,0.0001076885,0.000121549,0.0001905869],"domain_scores_gemma":[0.9997718,0.000002722359,0.00001398271,0.0001454244,0.00001107286,0.00005501138],"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":[0.000004045307,0.000002322549,0.000386762,0.000126578,0.00002518727,7.733583e-7,0.00005159607,0.01252825,0.0000948677,0.001712679,0.0002875447,0.9847794],"study_design_scores_gemma":[0.005025179,0.0007339681,0.1116021,0.0001645694,0.00004546529,0.0000435566,0.001366124,0.2769786,0.05436652,0.01326693,0.5341318,0.002275167],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07171767,0.001083336,0.777451,0.0001903242,0.002519994,0.0008540257,0.000001939101,0.001939843,0.1442419],"genre_scores_gemma":[0.8992105,0.00002058384,0.09817991,0.00008384104,0.00003462263,0.00001508667,0.000001860736,0.00001785927,0.00243572],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9825042,"threshold_uncertainty_score":0.3502327,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0162136178283526,"score_gpt":0.2898640748287149,"score_spread":0.2736504570003623,"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."}}