{"id":"W2752738643","doi":"10.1167/17.10.459","title":"A new multivariate analysis method suggests timing is key factor in visually-guided reach-to-grasp movements","year":2017,"lang":"en","type":"article","venue":"Journal of Vision","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"GRASP; Kinematics; Multivariate statistics; Movement (music); Orientation (vector space); Computer science; Contrast (vision); Hand strength; Multivariate analysis; Artificial intelligence; Object (grammar); Grip strength; Computer vision; Simulation; Mathematics; Machine learning; Physics; Physical therapy; Geometry; Acoustics","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":[0.006661115,0.001609866,0.0008226748,0.002019923,0.0005468219,0.001281463,0.0009192028,0.0006287924,0.009667066],"category_scores_gemma":[0.02911257,0.0002926256,0.002167493,0.002080554,0.0008513762,0.001803568,0.001088983,0.001347335,0.0009036168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005623191,"about_ca_system_score_gemma":0.001277961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003301964,"about_ca_topic_score_gemma":0.001695197,"domain_scores_codex":[0.9965306,0.001239015,0.0002681144,0.001144634,0.0006029774,0.0002146833],"domain_scores_gemma":[0.9845711,0.01006163,0.001779536,0.001969749,0.001316,0.0003019996],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.003228184,0.001058928,0.221441,0.0007224645,0.002992692,0.0006021563,0.002211989,0.03127736,0.07625821,0.03056475,0.01093557,0.6187068],"study_design_scores_gemma":[0.0001731122,0.001423907,0.3498597,0.0001409148,0.0007505218,0.0006948285,0.0004557486,0.6022825,0.01586873,0.0194553,0.008569082,0.0003255532],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2283579,0.0001879295,0.7632347,0.0004566422,0.0002116552,0.0006594048,0.001308452,0.002603867,0.002979459],"genre_scores_gemma":[0.7512069,0.0001996364,0.2436232,0.00009604406,0.0001202632,0.001140014,0.001400807,0.0004261698,0.001786919],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009667066,"threshold_uncertainty_score":0.03522778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1030409625085429,"score_gpt":0.4511623054491814,"score_spread":0.3481213429406385,"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."}}