{"id":"W2001756720","doi":"10.1016/j.cirp.2007.05.119","title":"Self-Calibration of On-Axis Rotary Encoders","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Calibration; Encoder; Rotation (mathematics); Rotary encoder; Repeatability; Computer science; Screw axis; Computer vision; Physics; Engineering; Mathematics; Mechanical engineering","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001749255,0.0008798263,0.0007694242,0.001187999,0.0007265443,0.001667677,0.00116387,0.0011253,0.003811925],"category_scores_gemma":[0.008971818,0.0005694105,0.0002664385,0.001243222,0.0004877262,0.001342657,0.001466584,0.0007805564,0.001276929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005779259,"about_ca_system_score_gemma":0.0009979279,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001238916,"about_ca_topic_score_gemma":0.002082447,"domain_scores_codex":[0.9958842,0.0007571136,0.0001291701,0.0005931355,0.002422613,0.0002136983],"domain_scores_gemma":[0.9944628,0.001215187,0.0005212207,0.00146657,0.002218794,0.0001153909],"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":[0.001255108,0.0002469548,0.01635069,0.0005315202,0.00008807419,0.0001926409,0.00118178,0.01621683,0.3173712,0.00709591,0.005434361,0.6340348],"study_design_scores_gemma":[0.0001450081,0.00091767,0.0539398,0.0002390051,0.0001630986,0.002337418,0.0005978225,0.1591197,0.7238122,0.003776184,0.0547517,0.0002004103],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3712075,0.001457999,0.5933149,0.0002766515,0.0007087818,0.0002238918,0.0003620134,0.004858749,0.02758956],"genre_scores_gemma":[0.870261,0.0003875258,0.1210843,0.0001339075,0.00008363145,0.00005567056,0.0003306551,0.0004381594,0.007225302],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003811925,"threshold_uncertainty_score":0.01275218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03173434115963476,"score_gpt":0.2781400555602398,"score_spread":0.246405714400605,"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."}}