{"id":"W7067916853","doi":"","title":"NDI Capabilities for Airframe Corrosion Damage Tolerance","year":2000,"lang":"en","type":"article","venue":"NPARC","topic":"Hydrogen embrittlement and corrosion behaviors in metals","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Airframe; Corrosion; Damage tolerance; Component (thermodynamics); Welding","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.002289398,0.000440908,0.0005271756,0.001304797,0.0008051735,0.001393654,0.001110767,0.0005929654,0.1482341],"category_scores_gemma":[0.005377723,0.0002979539,0.0002624412,0.0006306448,0.0002750685,0.001724309,0.001294057,0.0005795236,0.07552271],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006758377,"about_ca_system_score_gemma":0.001007464,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001247519,"about_ca_topic_score_gemma":0.00347673,"domain_scores_codex":[0.9985098,0.00009907977,0.00006258819,0.0001299297,0.001081066,0.0001174427],"domain_scores_gemma":[0.993869,0.0004398654,0.0002476264,0.001219428,0.003825291,0.0003987991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004381429,0.0001375248,0.006026822,0.0005609285,0.00001948074,0.0003296218,0.0003040486,0.0009185017,0.09064671,0.006888168,0.3088921,0.5848379],"study_design_scores_gemma":[0.00004782214,0.0001113228,0.004846951,0.00005623723,0.00002034186,0.000380059,0.0001141884,0.005825657,0.07535925,0.001548943,0.9116513,0.00003806813],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.04720154,0.001660966,0.1231148,0.005737704,0.004118726,0.0009586676,0.006472686,0.05307398,0.757661],"genre_scores_gemma":[0.2355757,0.001331699,0.07236979,0.0005791581,0.0009230252,0.000381582,0.009450125,0.004367596,0.6750214],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1482341,"threshold_uncertainty_score":0.4958925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01529102941283871,"score_gpt":0.2635618523956951,"score_spread":0.2482708229828564,"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."}}