{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006744945,0.0001421176,0.0001283147,0.00008379725,0.000101305,0.00007174616,0.00004951861,0.0002040626,0.0002926755],"category_scores_gemma":[0.000005523966,0.0001213751,0.00007246008,0.0001699584,0.00006534029,0.0000493445,0.000001000093,0.0004012859,0.00005148153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004261597,"about_ca_system_score_gemma":0.00002568274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001347421,"about_ca_topic_score_gemma":0.00002874246,"domain_scores_codex":[0.9991182,0.00001643203,0.0002012913,0.0001664945,0.0002879901,0.0002095945],"domain_scores_gemma":[0.9996219,0.00007951507,0.000006358758,0.00009856997,0.00002139056,0.0001722197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004028047,0.0001296463,0.000001761385,0.0007278533,0.0001344053,0.0001438705,0.0004122618,0.1746871,0.04351901,0.001169446,0.0007962101,0.7782382],"study_design_scores_gemma":[0.0001870943,0.00009540316,0.00001095629,0.0002163318,0.00005271431,0.00003248934,0.00001621585,0.9694651,0.02918863,0.0001562667,0.0004138118,0.0001650416],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06474756,0.0003715603,0.9310997,0.0004025512,0.002659977,0.0001088216,0.00002078971,0.0003113619,0.0002776801],"genre_scores_gemma":[0.9977528,0.0008943226,0.0007944584,0.00005687887,0.0001915631,0.00000220327,0.000009646703,0.00003009495,0.0002679946],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9330053,"threshold_uncertainty_score":0.4949533,"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."}}