{"id":"W2742009135","doi":"10.1139/tcsme-2015-0057","title":"A STUDY ON THE THERMAL CHARACTERISTICS OF THE GRINDING MACHINE APPLIED HYDROSTATIC BEARING","year":2015,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Engineering Applied Research","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Hydrostatic equilibrium; Grinding; Bearing (navigation); Machine tool; Machining; Mechanical engineering; Materials science; Thermal; Deformation (meteorology); Stiffness; Structural engineering; Composite material; Engineering; Computer science; Physics; Thermodynamics","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":[0.0005984571,0.0002023106,0.000243586,0.0000556461,0.0002082161,0.00002493833,0.000665838,0.0001066988,0.000007450239],"category_scores_gemma":[0.00006139024,0.0001301682,0.0003369841,0.0004477412,0.00004827109,0.00003138355,0.00002289775,0.00064726,0.00000146043],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003773976,"about_ca_system_score_gemma":0.0001151778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008640946,"about_ca_topic_score_gemma":0.00128844,"domain_scores_codex":[0.9987544,0.00001510376,0.0003164455,0.0001454676,0.0003654071,0.000403203],"domain_scores_gemma":[0.9989543,0.0002289011,0.00004274684,0.0005494122,0.00004661119,0.0001780123],"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":[0.000009973162,0.00005001595,0.00005909199,0.0001719928,0.0004152252,4.154671e-7,0.002227148,0.9660942,0.02618191,0.003944807,0.00006921779,0.0007759998],"study_design_scores_gemma":[0.001569132,0.0001804764,0.004212451,0.0002088044,0.0003230734,0.000008329314,0.002059784,0.9027634,0.08710819,0.0001736553,0.0008002973,0.0005923519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9397566,0.00005208377,0.05579024,0.0004886336,0.0009440955,0.002259253,0.0002021186,0.0001741868,0.0003328392],"genre_scores_gemma":[0.9989736,0.000002481177,0.0006829639,0.00002607231,0.00004236794,0.0001656728,0.000001729059,0.00007420863,0.0000309016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06333075,"threshold_uncertainty_score":0.5308105,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02491241134288747,"score_gpt":0.2225463700451141,"score_spread":0.1976339587022266,"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."}}