{"id":"W3118498316","doi":"10.1109/icecie50279.2020.9309624","title":"A Coordinate Measuring Machine with Auto-Learning Capability","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Ontario Centres of Excellence","keywords":"Measure (data warehouse); Computer science; Support vector machine; Process (computing); Noise (video); Coordinate-measuring machine; Vibration; Artificial intelligence; Reduction (mathematics); Machine learning; Engineering; Data mining; Mechanical engineering; Image (mathematics); Mathematics","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":[0.0007751505,0.0007260985,0.0009447411,0.001128903,0.0003973712,0.0008719985,0.001561954,0.00107834,0.003895248],"category_scores_gemma":[0.002436036,0.0004103974,0.0004527606,0.001402339,0.0004772885,0.001071708,0.0009403663,0.0009606594,0.003034026],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003517141,"about_ca_system_score_gemma":0.0005877292,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238518,"about_ca_topic_score_gemma":0.0009497373,"domain_scores_codex":[0.9984517,0.0002013649,0.00007977479,0.0004069878,0.0007996107,0.00006051821],"domain_scores_gemma":[0.998646,0.0002249301,0.0001619435,0.0003547263,0.0005719554,0.00004061668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001731208,0.0000792471,0.00153279,0.0002494485,0.00005339286,0.0001515397,0.00009315371,0.02393807,0.06597259,0.006121604,0.007312451,0.8943227],"study_design_scores_gemma":[0.0000566987,0.0004041104,0.004085685,0.00004161412,0.00005198585,0.001151891,0.00004047072,0.8691742,0.07516231,0.003327334,0.04641333,0.00009038945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005082437,0.0001923628,0.9889894,0.00007686494,0.0000896003,0.00005767617,0.0001003935,0.003554997,0.001856215],"genre_scores_gemma":[0.2640686,0.0003649345,0.7280172,0.0001917052,0.0001565571,0.000300559,0.000453905,0.0001760841,0.006270509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003895248,"threshold_uncertainty_score":0.01303095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01908710496553501,"score_gpt":0.1976608370706727,"score_spread":0.1785737321051377,"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."}}