{"id":"W2069766022","doi":"10.4028/www.scientific.net/amr.299-300.1198","title":"Experimental Determination of Aircraft Structural Material Life Envelope","year":2011,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Advanced Sensor Technologies Research","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; National Natural Science Foundation of China","keywords":"Envelope (radar); Service life; Corrosion; Structural engineering; Engineering; Key (lock); Flight envelope; Structural material; Forensic engineering; Reliability engineering; Materials science; Aerospace engineering; Computer science; Metallurgy; Civil engineering; Radar","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.0004479666,0.0003160489,0.0001841582,0.0003642786,0.000311271,0.0001637024,0.0003512026,0.0003553959,0.002714048],"category_scores_gemma":[0.0006691716,0.0001591576,0.00011933,0.0002796223,0.0002694982,0.0003268138,0.0002605722,0.0003153536,0.0004629768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000190318,"about_ca_system_score_gemma":0.0000973731,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006618226,"about_ca_topic_score_gemma":0.0008367028,"domain_scores_codex":[0.9997804,0.00001670332,0.00001181401,0.00005473894,0.00008748117,0.00004893793],"domain_scores_gemma":[0.9993432,0.0001355318,0.00005825193,0.0001488165,0.000266449,0.00004762475],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007631227,0.0000484048,0.001142881,0.00004359909,0.000003396594,0.00003732843,0.0001139802,0.0008880218,0.9926919,0.0002218954,0.0000793674,0.004652837],"study_design_scores_gemma":[0.00001055989,0.001033884,0.01290262,0.000009136187,0.0000120868,0.0001670119,0.00009412847,0.008130041,0.9747182,0.0001351572,0.0027715,0.00001567519],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9716672,0.000312428,0.02374828,0.0000243937,0.00001718831,0.00003115447,0.000653733,0.0001917334,0.003353943],"genre_scores_gemma":[0.9917339,0.0001690304,0.006103119,0.0000107527,0.000004240237,0.00003775615,0.00057238,0.00003106266,0.001337677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002714048,"threshold_uncertainty_score":0.009079337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07206688774510278,"score_gpt":0.356027083076944,"score_spread":0.2839601953318412,"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."}}