{"id":"W2417520008","doi":"10.3390/s16060798","title":"Use of a Force-Torque Sensor for Self-Calibration of a 6-DOF Medical Robot","year":2016,"lang":"en","type":"article","venue":"Sensors","topic":"Soft Robotics and Applications","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"National Aeronautics and Space Administration","keywords":"Calibration; Torque; Robot; Computer science; Simulation; Engineering; Control engineering; Physics; Artificial intelligence","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":[0.0008074686,0.0005056505,0.0004344299,0.0004696402,0.0002461106,0.0003615775,0.0007929992,0.0008165159,0.0008448123],"category_scores_gemma":[0.001940779,0.0002844103,0.0002984719,0.0002793294,0.0003522616,0.0006124077,0.0005974068,0.0004316031,0.0003736615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001944652,"about_ca_system_score_gemma":0.0003616769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000265935,"about_ca_topic_score_gemma":0.0003840828,"domain_scores_codex":[0.9990371,0.0001873752,0.00006509183,0.0001366606,0.0005308804,0.00004282413],"domain_scores_gemma":[0.9990864,0.0002725351,0.0001979029,0.0001580269,0.0002388455,0.00004630567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003448657,0.0001015513,0.002755711,0.000397807,0.00004109217,0.0003837383,0.000224612,0.00959376,0.8380254,0.001131451,0.0005468489,0.1464532],"study_design_scores_gemma":[0.00005451505,0.001006188,0.01126679,0.00007934004,0.00009652456,0.003740721,0.00006591537,0.1197073,0.8529385,0.0005187165,0.01040934,0.0001161989],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1558931,0.001355199,0.838426,0.0003776759,0.0002258723,0.00009504515,0.00006393542,0.001196534,0.00236666],"genre_scores_gemma":[0.7947817,0.0003732521,0.2031429,0.0001436544,0.00005748756,0.00003708166,0.00005005416,0.00004373799,0.001370016],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0008448123,"threshold_uncertainty_score":0.004270315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170133313973651,"score_gpt":0.2358280116099424,"score_spread":0.2141266784702059,"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."}}