{"id":"W1977319932","doi":"10.1520/jai11573","title":"Corrosion Risk Assessment of Aircraft Structures","year":2004,"lang":"en","type":"article","venue":"Journal of ASTM International","topic":"Fatigue and fracture mechanics","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Fuselage; Corrosion; Structural engineering; Aerospace; Service life; Structural integrity; Rivet; Materials science; Airframe; Damage tolerance; Probabilistic logic; Corrosion fatigue; Forensic engineering; Engineering; Computer science; Composite material; Aerospace 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":[0.0007766855,0.0005872734,0.0004210684,0.001066086,0.000148802,0.0004605335,0.0003781217,0.000421753,0.0006964171],"category_scores_gemma":[0.001854355,0.0001954632,0.0003959005,0.0002476944,0.0002594104,0.000465781,0.0005565433,0.0001921679,0.0001401174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006164244,"about_ca_system_score_gemma":0.0003265488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001676061,"about_ca_topic_score_gemma":0.001459261,"domain_scores_codex":[0.9994109,0.0001487356,0.00001930931,0.00006024318,0.0003192215,0.00004166561],"domain_scores_gemma":[0.9993541,0.0002013119,0.0001376159,0.00006283388,0.0002237581,0.00002047046],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001317507,0.00003887178,0.0232942,0.0001442014,0.0001217602,0.0004716078,0.00009393493,0.8502322,0.03878725,0.00521925,0.0006733707,0.08079156],"study_design_scores_gemma":[0.00001024572,0.0005250031,0.01773974,0.00002709564,0.00008003183,0.0006701284,0.00009673791,0.9515589,0.02029711,0.006625906,0.002338456,0.00003062635],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7073981,0.003322301,0.2803005,0.0002674546,0.00002059989,0.00005906929,0.000249341,0.0002900553,0.008092594],"genre_scores_gemma":[0.9911261,0.0004698039,0.007397149,0.00001100929,0.000009538589,0.00001143792,0.0001010108,0.000008615976,0.0008653171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001676061,"threshold_uncertainty_score":0.004472554,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005930899989696418,"score_gpt":0.2506491346832531,"score_spread":0.2447182346935566,"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."}}