{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001780414,0.00006944934,0.0001313477,0.0001206951,0.00001294785,0.00001555625,0.0001807701,0.00004209289,0.0001688126],"category_scores_gemma":[0.00005162654,0.00005493425,0.0001005701,0.0000435096,0.000009771878,0.0001511793,0.00001432983,0.0002429918,0.000002111589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009583293,"about_ca_system_score_gemma":0.00003817199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003901835,"about_ca_topic_score_gemma":0.00000309743,"domain_scores_codex":[0.9991348,0.00001015812,0.0003745654,0.00003980636,0.0003785617,0.00006215689],"domain_scores_gemma":[0.9994272,0.00002690395,0.0002418034,0.00006353624,0.000203685,0.0000368788],"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":[0.00003596883,0.0000931591,0.006140251,0.00002612218,0.0002216306,0.00003197745,0.0003349795,0.9050958,0.06318018,0.01134147,0.00284573,0.0106527],"study_design_scores_gemma":[0.008206318,0.001392322,0.3740414,0.0007329836,0.0002558542,0.00079837,0.0005390965,0.1177078,0.3342596,0.1286755,0.03258855,0.0008021232],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4941708,0.0001174732,0.5001463,0.0002166261,0.003313521,0.00003501793,0.00002389303,0.00001304045,0.001963298],"genre_scores_gemma":[0.9774896,0.00008836752,0.02212314,0.00002789911,0.0002464099,2.51663e-7,0.000003259786,0.000009152795,0.0000119626],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.787388,"threshold_uncertainty_score":0.2240154,"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."}}