{"id":"W4298615157","doi":"10.1016/j.precisioneng.2022.09.008","title":"Review and status of tool tip frequency response function prediction using receptance coupling","year":2022,"lang":"en","type":"article","venue":"Precision Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia; University of Calgary","funders":"Office of Energy Efficiency; Office of Energy Efficiency and Renewable Energy; Advanced Manufacturing Office; U.S. Department of Energy","keywords":"Substructure; Function (biology); Coupling (piping); Computer science; Engineering; Structural engineering; Mechanical engineering","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":[0.001324395,0.001255996,0.00173869,0.001676242,0.0002484489,0.001406268,0.002106053,0.001190002,0.001855008],"category_scores_gemma":[0.003087283,0.0006341678,0.000876981,0.002633721,0.0003415947,0.001673796,0.0006859544,0.0008211871,0.001506143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002334294,"about_ca_system_score_gemma":0.0009451092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001475585,"about_ca_topic_score_gemma":0.001131581,"domain_scores_codex":[0.9994069,0.0001025192,0.00006511158,0.0001967717,0.000201941,0.00002667163],"domain_scores_gemma":[0.9977837,0.001262799,0.0002101458,0.0001745709,0.0005275617,0.00004127043],"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":[0.0001158981,0.0001190839,0.002329515,0.01097985,0.0002541681,0.0001063463,0.00007913687,0.04156517,0.009985482,0.004306687,0.007956838,0.9222019],"study_design_scores_gemma":[0.00006397782,0.0008968133,0.01099286,0.006163482,0.00149931,0.0008730782,0.0003310592,0.5590521,0.03082868,0.01632783,0.3725589,0.0004119434],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01415604,0.7343386,0.2410973,0.0007261518,0.0009681318,0.00004693817,0.0003940793,0.0008751532,0.007397691],"genre_scores_gemma":[0.1179106,0.7693494,0.1041566,0.000611458,0.002168424,0.0001104942,0.001296985,0.0003170037,0.004079096],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002106053,"threshold_uncertainty_score":0.007004201,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01113273599051473,"score_gpt":0.2320870458593542,"score_spread":0.2209543098688395,"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."}}