{"id":"W2321613979","doi":"10.1152/jn.00738.2011","title":"The role of haptic feedback when manipulating nonrigid objects","year":2011,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Canadian Institutes of Health Research","keywords":"Haptic technology; Task (project management); Computer science; Motor learning; Object (grammar); Artificial intelligence; Simulation; Computer vision; Psychology; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006000593,0.00008210025,0.0001885645,0.00005202673,0.0001053782,0.00001077305,0.0003042082,0.00003016862,0.00002835007],"category_scores_gemma":[0.0004234698,0.0000502928,0.0001062265,0.00006738384,0.0001005957,0.0001193264,0.00004153332,0.0001865096,0.00001635441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006962406,"about_ca_system_score_gemma":0.00003256994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001231362,"about_ca_topic_score_gemma":0.000001213095,"domain_scores_codex":[0.9989747,0.0002057066,0.0003945422,0.0001091409,0.0001516186,0.0001642257],"domain_scores_gemma":[0.9988258,0.0003322587,0.0005672275,0.0001420246,0.00008605755,0.00004662433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0001830514,0.0000371266,0.00003118214,0.000003440222,0.000005399497,0.00002656163,0.0003668108,0.0001067135,0.9938114,0.001445192,0.000002678096,0.003980448],"study_design_scores_gemma":[0.003448908,0.008306846,0.4166833,0.0001293016,0.000156148,0.001132607,0.001085725,0.0405803,0.4010682,0.1201769,0.006655504,0.0005761954],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970466,0.00004350867,0.00008208964,0.00006802284,0.0004354409,0.00006511503,7.174152e-7,0.000005962819,0.002252517],"genre_scores_gemma":[0.9992853,0.00004921378,0.0002144648,0.0002195008,0.0001440068,8.602502e-7,4.707216e-8,0.00001012264,0.00007648996],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5927432,"threshold_uncertainty_score":0.2050881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04491259344341116,"score_gpt":0.2384992471656055,"score_spread":0.1935866537221944,"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."}}