{"id":"W4226441563","doi":"10.1007/s00221-022-06359-x","title":"Are reaching and grasping effector-independent? Similarities and differences in reaching and grasping kinematics between the hand and foot","year":2022,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canada First Research Excellence Fund","keywords":"Kinematics; GRASP; Foot (prosody); Acceleration; Embodied cognition; Psychology; Physical medicine and rehabilitation; Object (grammar); Communication; Motor control; Robot end effector; Computer science; Artificial intelligence; Neuroscience; Physics; Medicine; Robot; Classical mechanics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001564026,0.0003031884,0.0004374889,0.0003374147,0.0001969918,0.0009737038,0.0003974182,0.0008433785,0.00173421],"category_scores_gemma":[0.00668507,0.0003267045,0.0003277449,0.0001991146,0.001592143,0.001651554,0.0007932138,0.0004677057,0.0002358689],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001927164,"about_ca_system_score_gemma":0.0003186897,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004654138,"about_ca_topic_score_gemma":0.0005545914,"domain_scores_codex":[0.9989257,0.0002765993,0.00009396153,0.0003667536,0.0001930147,0.0001439234],"domain_scores_gemma":[0.9982504,0.0006678,0.0004786107,0.0003551399,0.0001143146,0.0001336857],"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":[0.003258866,0.0003718568,0.1119121,0.0007715446,0.0002567563,0.0009733256,0.005914281,0.001184258,0.7131956,0.008639457,0.0001900266,0.153332],"study_design_scores_gemma":[0.00004886127,0.0007263083,0.9578041,0.00007314158,0.00005396641,0.001221308,0.001474248,0.002151407,0.02890503,0.006620463,0.0008599322,0.00006120353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881066,0.0004047473,0.008554117,0.00009093388,0.00001197646,0.00002740629,0.00004182936,0.00003218214,0.002730117],"genre_scores_gemma":[0.9976919,0.0001036469,0.001670497,0.00005573926,0.000004648668,0.0000227098,0.00004720719,0.000009238441,0.000394473],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00173421,"threshold_uncertainty_score":0.008271456,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.145592619317485,"score_gpt":0.3674518289884293,"score_spread":0.2218592096709444,"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."}}