{"id":"W2031409562","doi":"10.1080/00222895.2015.1012579","title":"Online Vision as a Function of Real-Time Limb Velocity: Another Case for Optimal Windows","year":2015,"lang":"en","type":"article","venue":"Journal of Motor Behavior","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Nipissing University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Window (computing); Trajectory; Computer vision; Consistency (knowledge bases); Computer science; Control (management); Physical medicine and rehabilitation; Psychology; Artificial intelligence; Simulation; Medicine","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":[0.001477705,0.0005064686,0.000568389,0.000417388,0.0002506858,0.001301538,0.0006728704,0.0005995767,0.002101058],"category_scores_gemma":[0.01776092,0.0003970191,0.0003765302,0.0002761466,0.0008726207,0.002541868,0.00116352,0.000844912,0.000131085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003640981,"about_ca_system_score_gemma":0.0004856664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004405034,"about_ca_topic_score_gemma":0.0003236944,"domain_scores_codex":[0.9990028,0.0001989107,0.0001028141,0.0003669691,0.0001959589,0.0001326892],"domain_scores_gemma":[0.9894191,0.006928263,0.001253972,0.001653433,0.0003893012,0.0003558192],"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":[0.005669519,0.0006514977,0.0119646,0.0005980446,0.0001362838,0.0002885332,0.0007452331,0.008564511,0.8590284,0.01556225,0.0002444643,0.09654666],"study_design_scores_gemma":[0.0008523357,0.008688017,0.3177191,0.0002191851,0.0007174621,0.001461048,0.000631954,0.1184594,0.47547,0.07004907,0.005460499,0.000271938],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9120326,0.0007135841,0.08207723,0.0002016528,0.00004482727,0.0001040395,0.000089841,0.0001904288,0.004545677],"genre_scores_gemma":[0.9825832,0.00009454744,0.0168245,0.00002891057,0.000008756555,0.00006068003,0.00002455237,0.00006481372,0.0003102239],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002101058,"threshold_uncertainty_score":0.007814944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05800255244138105,"score_gpt":0.3167306084043178,"score_spread":0.2587280559629367,"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."}}