{"id":"W2133588437","doi":"10.1007/s00221-006-0411-0","title":"Are there distinct neural representations of object and limb dynamics?","year":2006,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":103,"is_retracted":false,"has_abstract":false,"ca_institutions":"Western University","funders":"Canadian Institutes of Health Research","keywords":"Object (grammar); Artificial intelligence; Dynamics (music); Psychology; Communication; Motor learning; Orientation (vector space); Generality; Motor control; Movement (music); Computer science; Computer vision; Neuroscience; Physics; Mathematics; Geometry","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":[0.001594161,0.0004738909,0.0009451894,0.0006116751,0.0003493725,0.003017515,0.001262379,0.002170836,0.004368141],"category_scores_gemma":[0.008884883,0.0007193129,0.0006099804,0.0005906502,0.004763684,0.008984707,0.000993342,0.001627497,0.0004889386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000478138,"about_ca_system_score_gemma":0.0005930606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000982022,"about_ca_topic_score_gemma":0.001018378,"domain_scores_codex":[0.9993642,0.00009436007,0.00004787781,0.0002221618,0.0001535982,0.0001178977],"domain_scores_gemma":[0.9974034,0.001128552,0.0005407731,0.0005312726,0.0001972015,0.0001987459],"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":[0.002920176,0.0008066425,0.02591445,0.001448918,0.0008465142,0.0004411601,0.001950554,0.003218138,0.3778594,0.22521,0.001962892,0.3574212],"study_design_scores_gemma":[0.0004788142,0.0009098519,0.4979422,0.0005614469,0.0003465149,0.001973377,0.002931588,0.02780978,0.07744139,0.3830535,0.006211,0.0003404167],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8554997,0.006225008,0.1097255,0.006868353,0.0006542304,0.0000760514,0.0003784662,0.0003018244,0.02027085],"genre_scores_gemma":[0.985759,0.001679857,0.009854035,0.0008396047,0.0001193506,0.00005688738,0.000226455,0.0000668641,0.001397924],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004368141,"threshold_uncertainty_score":0.01461291,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07542186087174563,"score_gpt":0.3879177509148373,"score_spread":0.3124958900430916,"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."}}