{"id":"W4411192022","doi":"10.36227/techrxiv.174952923.34445605/v1","title":"Unifying Impedance Control, Admittance Control, and Hybrid Methods into a Sensitivity Framework","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Stability and Control of Uncertain Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Admittance; Sensitivity (control systems); Electrical impedance; Control (management); Control theory (sociology); Computer science; Engineering; Electronic engineering; Electrical engineering; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002392314,0.0007398728,0.001676794,0.0001721191,0.0001501151,0.000222999,0.0003297723,0.0006381948,0.00002065009],"category_scores_gemma":[0.00105391,0.0007457114,0.0003194719,0.0001711915,0.0001548484,0.0001470237,0.0002491442,0.001677179,0.00000684741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002824148,"about_ca_system_score_gemma":0.0001658401,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005685834,"about_ca_topic_score_gemma":0.000228418,"domain_scores_codex":[0.996482,0.000867661,0.0008261481,0.0009214999,0.0002932313,0.0006094908],"domain_scores_gemma":[0.9940457,0.004215866,0.0001655887,0.001132172,0.0002133753,0.0002272677],"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":[0.001299756,0.0002034413,0.008272963,0.01674603,0.006297498,0.000340318,0.004357987,0.4390476,0.01669528,0.03767631,0.002205976,0.4668568],"study_design_scores_gemma":[0.001981215,0.0000382319,0.001513924,0.001390631,0.0003220763,0.00002446035,0.0001894588,0.9524049,0.0007198504,0.03528309,0.004989927,0.001142242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01508282,0.01424443,0.9620082,0.0006667519,0.002195097,0.00118641,0.0001736864,0.0009784964,0.003464131],"genre_scores_gemma":[0.9329816,0.0003466218,0.06516737,0.0006649576,0.0003808653,0.000242085,0.000007473378,0.00005003695,0.0001590478],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9178987,"threshold_uncertainty_score":0.9994994,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01210149847830292,"score_gpt":0.2971121947157921,"score_spread":0.2850106962374892,"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."}}