{"id":"W4399167820","doi":"10.1109/tmrb.2024.3407350","title":"Low-Profile 6-Axis Differential Magnetic Force/Torque Sensing","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Medical Robotics and Bionics","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Torque; Differential (mechanical device); Physics; Control theory (sociology); Computer science; 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":[0.0002667229,0.0004311553,0.0004214375,0.0004346599,0.0001585509,0.0003661797,0.0007477649,0.0004265098,0.001581378],"category_scores_gemma":[0.0007175714,0.0002036272,0.0001906993,0.00030143,0.0002654795,0.0005560701,0.0003027768,0.0002849009,0.0007201641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002610832,"about_ca_system_score_gemma":0.0001895964,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003329783,"about_ca_topic_score_gemma":0.0008243895,"domain_scores_codex":[0.9993271,0.00004391366,0.00002256028,0.0000782727,0.0005026611,0.00002563856],"domain_scores_gemma":[0.999531,0.00009629955,0.0001498603,0.00005136848,0.0001432312,0.00002816065],"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":[0.0001379664,0.00004948024,0.002306223,0.0003996105,0.00001085874,0.0001338369,0.00004819089,0.005002909,0.8714785,0.001463098,0.001607802,0.1173615],"study_design_scores_gemma":[0.00003045581,0.000707633,0.01383529,0.0000536091,0.00003274593,0.001490287,0.00004580311,0.1082055,0.8503571,0.0008347832,0.0243241,0.00008269151],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1666434,0.001446548,0.8191594,0.0003215267,0.0002378252,0.0001291319,0.0004458896,0.002461942,0.009154319],"genre_scores_gemma":[0.8116724,0.0005102344,0.1811133,0.0001301998,0.00009301955,0.00004698096,0.0002748239,0.00005941334,0.006099723],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001581378,"threshold_uncertainty_score":0.00529021,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006715775962130924,"score_gpt":0.2164957823400665,"score_spread":0.2097800063779356,"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."}}