{"id":"W2803312604","doi":"10.1051/matecconf/201816518005","title":"Experimental Life Improvement Quantification of Shot Peening and Fastener Modifications","year":2018,"lang":"en","type":"article","venue":"MATEC Web of Conferences","topic":"Engineering and Material Science Research","field":"Materials Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Sonaca (Canada); National Research Council Canada","funders":"","keywords":"Fastener; Shot peening; Structural engineering; Computer science; Materials science; Engineering; Residual stress; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0008253736,0.0006340711,0.0003840066,0.000476431,0.0003101146,0.0002386964,0.000569685,0.0009351813,0.002811321],"category_scores_gemma":[0.001694944,0.0002712175,0.0002993536,0.0004412389,0.000522679,0.0005238553,0.0005061445,0.00063202,0.000249975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004027671,"about_ca_system_score_gemma":0.000156709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000383322,"about_ca_topic_score_gemma":0.0009586922,"domain_scores_codex":[0.9992525,0.00006969169,0.00005494077,0.0001516589,0.000329933,0.0001412628],"domain_scores_gemma":[0.9985177,0.0003968254,0.0002008023,0.0002685504,0.0005356367,0.00008050438],"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":[0.0002861538,0.0000797226,0.000751559,0.00008012559,0.00001243475,0.00005031327,0.00009088758,0.001429785,0.9931988,0.00008589288,0.00005554395,0.003878745],"study_design_scores_gemma":[0.000008712856,0.001222233,0.004006028,0.000004042225,0.0000186011,0.00004281079,0.00003525034,0.001355238,0.9926261,0.00002763318,0.0006433121,0.000009989006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945155,0.0002516108,0.003950152,0.00001417101,0.00002038449,0.0000530521,0.0002366669,0.00007534077,0.0008831431],"genre_scores_gemma":[0.994162,0.0001454427,0.003657533,0.00001791639,0.000005947192,0.00006496157,0.000288999,0.00004272005,0.001614547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002811321,"threshold_uncertainty_score":0.009404778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0705605068823865,"score_gpt":0.3252167860357049,"score_spread":0.2546562791533183,"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."}}