{"id":"W4404917315","doi":"10.2139/ssrn.5041286","title":"Ultrasonic Pulsed Waterjet Peening of Ti-6al-4v Manufactured by Laser Powder Bed Fusion","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Erosion and Abrasive Machining","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Fredericton; University of New Brunswick; Dalhousie University","funders":"","keywords":"Materials science; Peening; Ultrasonic sensor; Laser peening; Fusion; Metallurgy; Laser; Composite material; Acoustics; Optics; 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001649391,0.0005080893,0.0005219601,0.0001393087,0.0002494076,0.0001479137,0.0007878278,0.0003722558,0.002790979],"category_scores_gemma":[0.00005220991,0.0004012936,0.0003956984,0.0001634035,0.00013818,0.0001117502,0.001124235,0.006675828,0.0003708841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00138557,"about_ca_system_score_gemma":0.0004410808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003557121,"about_ca_topic_score_gemma":0.0004797117,"domain_scores_codex":[0.995357,0.0002148178,0.0006805893,0.000692055,0.0008289756,0.002226578],"domain_scores_gemma":[0.998875,0.000062908,0.0004513575,0.000391585,0.00002187898,0.0001972637],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004795698,0.0006167528,0.02247499,0.0003126622,0.001087839,0.00009639663,0.003620408,0.009340484,0.8524258,0.001579175,0.02399942,0.08396654],"study_design_scores_gemma":[0.005228066,0.001653445,0.008366829,0.002099132,0.001104938,0.001544074,0.004321442,0.003626129,0.454468,0.4950083,0.01837626,0.004203379],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915898,0.001980937,0.0007724886,0.001227932,0.0007707831,0.0002906122,0.00004291144,0.00007688184,0.003247679],"genre_scores_gemma":[0.9888945,0.001926476,0.0001204307,0.0002076603,0.0001711245,0.00001004257,0.00009198702,0.000084964,0.008492818],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4934291,"threshold_uncertainty_score":0.9998439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005730432876397852,"score_gpt":0.2316096395244036,"score_spread":0.2258792066480057,"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."}}