{"id":"W4249316748","doi":"10.1007/978-3-662-53120-4_300385","title":"Machine Hammer Peening","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Surface Treatment and Residual Stress","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Hammer; Peening; Materials science; Metallurgy; Residual stress","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":[0.0001328542,0.0007617595,0.0004766365,0.001397489,0.00104763,0.001203333,0.0006464284,0.0007845986,0.1004873],"category_scores_gemma":[0.0002594948,0.0003627375,0.0003587005,0.001035878,0.0004891008,0.001077587,0.0007913102,0.001167021,0.03196487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005354226,"about_ca_system_score_gemma":0.0004645018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001248142,"about_ca_topic_score_gemma":0.005417226,"domain_scores_codex":[0.9997813,0.000007883079,0.000005614281,0.00004290268,0.0001444472,0.00001783623],"domain_scores_gemma":[0.999935,0.00001211087,0.000002916929,0.00001477816,0.0000300788,0.000005171064],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006512965,0.00007006168,0.0001081847,0.0003905655,0.000004846535,0.0001263943,0.0001839244,0.001646128,0.02285761,0.02913001,0.1101861,0.8352309],"study_design_scores_gemma":[0.000004096457,0.00005466529,0.001068142,0.00009150453,0.000005037493,0.0002961929,0.00006354312,0.001265431,0.01094187,0.00731417,0.9788828,0.00001247056],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.004279544,0.005136224,0.02398395,0.0003144474,0.001120347,0.00008850569,0.0002918676,0.0009978175,0.9637873],"genre_scores_gemma":[0.0102766,0.001528208,0.004475627,0.00008210384,0.00006848927,0.00001388191,0.0002100542,0.000175879,0.9831692],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.1004873,"threshold_uncertainty_score":0.3361636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01298415129317639,"score_gpt":0.1940730226822439,"score_spread":0.1810888713890675,"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."}}