{"id":"W2134139721","doi":"10.1109/ccece.2008.4564759","title":"Measuring the angle of a rotating link through compliant driving tendons","year":2008,"lang":"en","type":"article","venue":"Conference proceedings - Canadian Conference on Electrical and Computer Engineering","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Link (geometry); Tendon; Extended Kalman filter; Position (finance); Kalman filter; Coulomb friction; Motion (physics); Control theory (sociology); Computer science; Physics; Artificial intelligence; Nonlinear system; Anatomy; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001132986,0.0002939047,0.0003335272,0.0002257138,0.0002713601,0.0001341399,0.0003087089,0.0001067836,0.00002997606],"category_scores_gemma":[0.00005491728,0.0002579303,0.00006103735,0.0004524934,0.00006756552,0.0002174469,0.00003926228,0.0005937368,0.00000858945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008305285,"about_ca_system_score_gemma":0.0001294095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007852208,"about_ca_topic_score_gemma":0.0002847205,"domain_scores_codex":[0.9985256,0.000009802961,0.0003439138,0.0003014902,0.0002327625,0.000586432],"domain_scores_gemma":[0.9992596,0.00008486764,0.00006269244,0.0001213261,0.0001921536,0.0002793966],"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":[0.00003316874,0.00008897923,0.05734687,0.0007923724,0.00047896,0.0001347857,0.0221166,0.3937244,0.01571663,0.3389035,0.001773995,0.1688898],"study_design_scores_gemma":[0.0001870181,0.00008494572,0.02227021,0.0002104457,0.00001075995,0.00007964464,0.00004980704,0.9755378,0.0004183676,0.0001536654,0.0006846551,0.0003126506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6576561,0.0005139274,0.3276801,0.00133589,0.0004554851,0.0007154874,0.000003884798,0.0007878504,0.01085131],"genre_scores_gemma":[0.9968987,0.0001080468,0.002642257,0.00009306498,0.0001625269,0.00002484756,0.000002808041,0.00003636678,0.00003139934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5818135,"threshold_uncertainty_score":0.9999873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04292667270602889,"score_gpt":0.2015693154404239,"score_spread":0.158642642734395,"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."}}