{"id":"W372770416","doi":"10.1299/jsmeintmp.10.2.202","title":"530 The forming characteristics in Micro-Forging with Ultrasound Vibration","year":2002,"lang":"en","type":"article","venue":"The Proceedings of the JSME Materials and Processing Conference (M&P)","topic":"Metallurgy and Material Forming","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"SKiN Health","funders":"","keywords":"Forging; Materials science; Lubrication; Vibration; Deformation (meteorology); Metallurgy; Flow stress; Die (integrated circuit); Mechanical engineering; Composite material; Acoustics; Engineering; Alloy","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":[0.000257078,0.0001198891,0.0001791034,0.0002598902,0.0001941456,0.0002311234,0.0001693673,0.000275896,0.001433725],"category_scores_gemma":[0.0009121113,0.0001462329,0.0001415108,0.0001734843,0.0002954877,0.0003663614,0.0001136569,0.0001327767,0.000257775],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001722562,"about_ca_system_score_gemma":0.0001010644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005335179,"about_ca_topic_score_gemma":0.0004992615,"domain_scores_codex":[0.9997562,0.00002176911,0.000009080187,0.00002816184,0.000149587,0.00003526019],"domain_scores_gemma":[0.9993958,0.0002238541,0.0001094062,0.00005236531,0.000177335,0.00004133278],"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":[0.0002521663,0.00002535607,0.003410824,0.00005683666,0.000006546081,0.0002352188,0.0003851299,0.001135727,0.9799464,0.0003574235,0.000177365,0.01401086],"study_design_scores_gemma":[0.00001754666,0.0007839133,0.02853679,0.0000105117,0.00003113484,0.001084619,0.0001958511,0.01363098,0.9528469,0.000198182,0.002635296,0.00002825531],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9928973,0.0003654898,0.004896399,0.00003785181,0.00001309654,0.00001294897,0.00001970498,0.00008502131,0.001672227],"genre_scores_gemma":[0.998204,0.00005275441,0.001022562,0.000005629756,0.000002283815,0.000002749157,0.00001955452,0.00001299114,0.0006774922],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001433725,"threshold_uncertainty_score":0.004796326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01428648677099623,"score_gpt":0.1858465934408238,"score_spread":0.1715601066698275,"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."}}