{"id":"W4229373731","doi":"10.1115/1.4054516","title":"Condition Monitoring of Machine Tool Feed Drives: A Review","year":2022,"lang":"en","type":"review","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Prognostics; Machine tool; Condition monitoring; Engineering; Manufacturing engineering; Control engineering; Computer science; Mechanical engineering; Reliability engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007726188,0.0009960956,0.001425315,0.002984237,0.0002466796,0.00112064,0.001250797,0.001024192,0.00365985],"category_scores_gemma":[0.001347731,0.0004086461,0.0007962685,0.002889511,0.0002918115,0.001530923,0.0005656697,0.0008226223,0.001597518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003834763,"about_ca_system_score_gemma":0.001122673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001355425,"about_ca_topic_score_gemma":0.001340559,"domain_scores_codex":[0.9995878,0.00004396217,0.00006273051,0.00009718142,0.0001816464,0.00002674325],"domain_scores_gemma":[0.9991484,0.0004022612,0.0001285729,0.00002154135,0.0002663536,0.00003293836],"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":[0.00007480363,0.00008860427,0.0003373583,0.04941233,0.0001282822,0.0001576574,0.00006767581,0.0008660822,0.002360455,0.002125308,0.0141644,0.930217],"study_design_scores_gemma":[0.00001653821,0.0002962577,0.002466179,0.01656843,0.000460477,0.001618182,0.000126922,0.0006396194,0.002356189,0.001817505,0.9735744,0.00005932707],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002591925,0.9983696,0.0003688549,0.00009407497,0.0001067021,0.000007534488,0.00003250524,0.00001333867,0.000748113],"genre_scores_gemma":[0.002001385,0.9966351,0.0005247456,0.00009243141,0.0001158781,0.00000921251,0.00006838414,0.000003149197,0.0005496658],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.00365985,"threshold_uncertainty_score":0.01224339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01684527450420083,"score_gpt":0.2812050029410736,"score_spread":0.2643597284368728,"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."}}