{"id":"W3008802098","doi":"10.1155/2020/1064870","title":"Power Ultrasonic Additive Manufacturing: Process Parameters, Microstructure, and Mechanical Properties","year":2020,"lang":"en","type":"article","venue":"Advances in Materials Science and Engineering","topic":"Additive Manufacturing Materials and Processes","field":"Engineering","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Materials science; Microstructure; Fabrication; Ultimate tensile strength; Ultrasonic sensor; Consolidation (business); Composite material; Process optimization; Mechanical engineering; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[],"consensus_categories":[],"category_scores_codex":[0.000172526,0.0002358629,0.0002696577,0.00008269148,0.00007930349,0.000206739,0.000184008,0.00005389934,0.00004164581],"category_scores_gemma":[0.0001700395,0.0001999708,0.000009567469,0.00014869,0.0001840801,0.0009691898,0.0000695238,0.0001064126,0.000003223134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002833895,"about_ca_system_score_gemma":0.00001797567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002183375,"about_ca_topic_score_gemma":7.662744e-7,"domain_scores_codex":[0.9988407,0.00000808499,0.0002250514,0.0003542448,0.000184667,0.000387203],"domain_scores_gemma":[0.999685,0.0000349332,0.0000299931,0.0000798795,0.00003852773,0.0001316368],"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":[0.00003087495,0.000004021578,0.00001297536,0.0007354189,0.000007034191,0.00001110919,0.0008624514,0.01193055,0.9840103,0.0001655306,0.000009044764,0.002220678],"study_design_scores_gemma":[0.0001606386,0.00004893201,0.0007010622,0.000114558,0.000003971139,0.00001929111,0.0001806189,0.001141111,0.9960231,0.0002588898,0.00106058,0.0002872885],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975206,0.001185164,0.0004391391,0.00005011432,0.000335657,0.0001656944,0.00004935583,0.0001781686,0.00007607291],"genre_scores_gemma":[0.9976459,0.001094806,0.001041069,0.00009970633,0.00005561628,0.0000318517,0.000003530864,0.00002673003,8.065472e-7],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01201275,"threshold_uncertainty_score":0.8154573,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007930048803241704,"score_gpt":0.2056653800523053,"score_spread":0.1977353312490636,"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."}}