{"id":"W2626376261","doi":"","title":"Grasp orientation varies with local object features","year":2011,"lang":"en","type":"article","venue":"","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of British Columbia","funders":"","keywords":"GRASP; Kinematics; Index finger; Orientation (vector space); Artificial intelligence; Thumb; Computer vision; Feature (linguistics); Object (grammar); Acceleration; Computer science; Mathematics; Geometry; Physics; Anatomy; Medicine","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":[0.0002772757,0.0002927863,0.0004569105,0.0002274345,0.0001013207,0.0007569401,0.0002073826,0.0003297954,0.001857307],"category_scores_gemma":[0.001169931,0.0002161278,0.0002277513,0.0001515552,0.0003048024,0.0003629536,0.0006121866,0.0003325009,0.0003879061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001597652,"about_ca_system_score_gemma":0.00013775,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002726413,"about_ca_topic_score_gemma":0.0003972086,"domain_scores_codex":[0.999694,0.00002863422,0.0000284844,0.0001012314,0.00009893576,0.00004880289],"domain_scores_gemma":[0.9992613,0.0001412816,0.0003352746,0.0001036108,0.00005368574,0.0001047316],"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":[0.0001983169,0.00003226667,0.006254066,0.00004173158,0.00001432481,0.00006468218,0.00006171511,0.0002560563,0.9880547,0.0000474977,0.00001726254,0.004957325],"study_design_scores_gemma":[0.00003153188,0.001899867,0.8173664,0.00002746542,0.00008375614,0.0007440987,0.0002837728,0.003678969,0.1747444,0.0003304909,0.0007686896,0.00004055559],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973106,0.00008058339,0.001788871,0.000007392418,0.000002509661,0.00000842063,0.00002112888,0.00003310809,0.0007475112],"genre_scores_gemma":[0.9985372,0.00006851159,0.0008819234,0.00001241408,0.000002129457,0.000009652144,0.00004889932,0.00002022944,0.0004189997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001857307,"threshold_uncertainty_score":0.006213307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789979301564899,"score_gpt":0.2295779857672765,"score_spread":0.2016781927516275,"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."}}