{"id":"W4360853309","doi":"10.1139/tcsme-2022-0116","title":"Adaptive group-wise modeling of thermally induced errors of a turning center","year":2023,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Machining; Toolbox; MATLAB; Thermal; Computer science; Process (computing); Machine tool; Algorithm; Software; Engineering; Mechanical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002253151,0.0001191319,0.0002188987,0.000101193,0.00005570813,0.000001851928,0.0001911781,0.0001424342,0.000005333624],"category_scores_gemma":[0.00002025417,0.0001124993,0.0004232479,0.0003452878,0.00001969732,0.00006910498,0.000005174747,0.0002159451,1.519746e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001291272,"about_ca_system_score_gemma":0.00004468261,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006853282,"about_ca_topic_score_gemma":0.002417562,"domain_scores_codex":[0.9992561,0.000005835304,0.0002646053,0.00009554999,0.0001202543,0.0002576965],"domain_scores_gemma":[0.9996027,0.00004411867,0.00003825807,0.000170116,0.00006255793,0.00008220359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000006746222,0.000007440458,0.000003392119,0.000122632,0.0001737848,9.346519e-8,0.0003055845,0.7699954,0.2280199,0.0006685966,0.00001198885,0.0006844508],"study_design_scores_gemma":[0.0002872152,0.00005238967,0.00001814871,0.0001038509,0.00006340182,7.373574e-7,0.0001822988,0.9109215,0.087952,0.0002510924,0.00006005984,0.0001072892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1577483,0.00005760042,0.841216,0.00004989078,0.0002635745,0.0003374664,0.00008917567,0.0001872192,0.0000507806],"genre_scores_gemma":[0.9845577,0.00002169231,0.01530526,0.000009729842,0.00001298642,0.00004392173,0.000003699462,0.00003750821,0.000007495516],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8268095,"threshold_uncertainty_score":0.4587589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02976156709852514,"score_gpt":0.2236145094640966,"score_spread":0.1938529423655715,"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."}}