{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000872508,0.0004234797,0.0002671953,0.0002090319,0.0001624762,0.0007359732,0.0003459433,0.0005244823,0.001135553],"category_scores_gemma":[0.009371008,0.000223754,0.0001798129,0.00007816102,0.0006995798,0.001152699,0.0005193235,0.0003337211,0.0001266972],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009816828,"about_ca_system_score_gemma":0.0002706667,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005724877,"about_ca_topic_score_gemma":0.0004433341,"domain_scores_codex":[0.9994321,0.0001679256,0.00002938064,0.00007358049,0.0002338613,0.00006307704],"domain_scores_gemma":[0.9960467,0.002557715,0.0007181863,0.0002599707,0.0002214934,0.0001960293],"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":[0.001564116,0.0004227443,0.008867565,0.0004642743,0.000041683,0.0002206406,0.001124996,0.003205816,0.8577736,0.0005190877,0.00009972404,0.1256957],"study_design_scores_gemma":[0.0003273154,0.0182182,0.3873021,0.0002363704,0.0001905537,0.001925501,0.001958853,0.0416776,0.5381669,0.006636768,0.003126718,0.0002331756],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914538,0.0003671796,0.006899117,0.00006308977,0.00001320017,0.0000235226,0.00001018879,0.00004502412,0.001124907],"genre_scores_gemma":[0.9968699,0.0001288401,0.002635074,0.00001548795,0.000004803225,0.000008127275,0.00001002117,0.000006576649,0.0003213402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001135553,"threshold_uncertainty_score":0.004614294,"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."}}