{"id":"W2802982808","doi":"10.1139/tcsme-2013-0070","title":"STUDY OF A NEW AND LOW-COST MEASUREMENT METHOD OF VOLUMETRIC ERRORS FOR CNC FIVE-AXIS MACHINE TOOLS","year":2013,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Science Council","keywords":"Numerical control; Engineering drawing; Computer science; Machine tool; Mechanical engineering; Engineering; Machining","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002146019,0.0006634124,0.0006813201,0.001279465,0.0002552915,0.0007113618,0.001563147,0.0006719294,0.0006268036],"category_scores_gemma":[0.003697839,0.0003547452,0.0004191699,0.0008396715,0.0006615751,0.001940089,0.0005235995,0.000639411,0.0001745082],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008112682,"about_ca_system_score_gemma":0.0009992927,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002005013,"about_ca_topic_score_gemma":0.001297349,"domain_scores_codex":[0.9952446,0.0003987091,0.0001491596,0.0005334778,0.003596155,0.00007796178],"domain_scores_gemma":[0.9969348,0.000696706,0.0004085561,0.0003142109,0.001592779,0.00005301713],"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":[0.0004140039,0.0001838449,0.01003747,0.001511119,0.0001813475,0.0003282645,0.0005267192,0.03797885,0.4240147,0.02196283,0.002081537,0.5007793],"study_design_scores_gemma":[0.00008651865,0.0008951595,0.0116693,0.0001002226,0.0001477449,0.001329543,0.0001427456,0.5981463,0.3695877,0.001674753,0.01594148,0.0002785867],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04156166,0.00140565,0.9549366,0.0001194036,0.0001588459,0.0001001628,0.00004070546,0.0004593917,0.001217565],"genre_scores_gemma":[0.5796679,0.0009512146,0.4172349,0.0000702145,0.0001199345,0.0001349553,0.0001094458,0.00006964031,0.00164169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002146019,"threshold_uncertainty_score":0.01134938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03721607704742946,"score_gpt":0.2519514056485601,"score_spread":0.2147353286011306,"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."}}