{"id":"W2350645176","doi":"10.4028/www.scientific.net/amm.835.620","title":"Development of Ultrasonic Surface Treatment Device","year":2016,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Tribology and Wear Analysis","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Materials science; Ultrasonic sensor; Tribology; Residual stress; Surface roughness; Vibration; Surface finish; Surface (topology); Amplitude; Acoustics; Composite material; Mechanical engineering; Engineering; Optics","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":[0.0002711562,0.0003395791,0.0004616142,0.0004421023,0.0002512766,0.0004206356,0.0007026005,0.0008612186,0.00162917],"category_scores_gemma":[0.000339998,0.0003175164,0.0003181718,0.0002926373,0.0002374455,0.0006465532,0.0004114792,0.0005703779,0.000879418],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002924544,"about_ca_system_score_gemma":0.0003488629,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002125077,"about_ca_topic_score_gemma":0.0002028916,"domain_scores_codex":[0.9996845,0.00001977593,0.00002428109,0.00009024119,0.000146768,0.00003446244],"domain_scores_gemma":[0.9998222,0.00003105301,0.00002330661,0.00002063031,0.00008359564,0.00001928949],"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":[0.00003786712,0.0000377799,0.0004312783,0.0003435661,0.00001045423,0.0001187325,0.0001010368,0.0004199695,0.9361163,0.004080299,0.001363708,0.05693908],"study_design_scores_gemma":[0.0000416868,0.0006710569,0.001731333,0.00003808364,0.00003557926,0.0008798209,0.00005210895,0.01207781,0.918636,0.0004034715,0.06538623,0.00004675753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2377271,0.01413269,0.7103145,0.001617562,0.00175418,0.0009141116,0.000510926,0.00359812,0.02943077],"genre_scores_gemma":[0.499164,0.004292383,0.4778633,0.0004998954,0.0002354916,0.0006542098,0.0004521906,0.0001179864,0.01672049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00162917,"threshold_uncertainty_score":0.00545013,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01088951385447432,"score_gpt":0.201970269483354,"score_spread":0.1910807556288797,"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."}}