{"id":"W2151883807","doi":"10.1109/robot.1991.131590","title":"Grasp admittance center: a concept and its implications","year":2002,"lang":"en","type":"article","venue":"","topic":"Robot Manipulation and Learning","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"GRASP; Admittance; Object (grammar); Degrees of freedom (physics and chemistry); Center (category theory); Computer science; Task (project management); Order (exchange); Prime (order theory); Control theory (sociology); Artificial intelligence; Mathematics; Engineering; Control (management); Physics; Programming language; Combinatorics","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":[0.001689969,0.0008861637,0.0005892987,0.002463696,0.002114006,0.003379256,0.001848255,0.002393569,0.007418679],"category_scores_gemma":[0.004978591,0.0004396405,0.001049607,0.001564823,0.01382085,0.01168825,0.004044513,0.003094048,0.001339798],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001614504,"about_ca_system_score_gemma":0.001162093,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002035218,"about_ca_topic_score_gemma":0.0006366492,"domain_scores_codex":[0.9987397,0.0002880329,0.00008957425,0.0002972566,0.000437576,0.0001479491],"domain_scores_gemma":[0.9977216,0.0008997632,0.0003249205,0.0002844893,0.0004983179,0.0002708232],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001465112,0.000009326481,0.00008253862,0.00003249905,0.00000360278,0.00009732886,0.0002781948,0.001366858,0.0007228339,0.9876744,0.0005027754,0.009214991],"study_design_scores_gemma":[0.0000168437,0.00008760161,0.0001816731,0.00005499616,0.00001009162,0.000388007,0.0003469644,0.01827326,0.001361958,0.9612041,0.0180362,0.00003825272],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02167694,0.002255277,0.9155904,0.002650877,0.00045496,0.0000748811,0.00008528829,0.0005983423,0.05661311],"genre_scores_gemma":[0.7831368,0.002839112,0.1921737,0.0008115704,0.001072285,0.0003990905,0.0001064624,0.0003437387,0.01911732],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007418679,"threshold_uncertainty_score":0.024818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03322245227975568,"score_gpt":0.224673662071787,"score_spread":0.1914512097920313,"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."}}