{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004111925,0.0001228399,0.0002732475,0.0001674484,0.00005789122,0.00003186853,0.0001290264,0.00008290093,0.00007030775],"category_scores_gemma":[0.0003963565,0.00009837071,0.0001889243,0.0001083848,0.00003625754,0.0003514837,0.00002006186,0.0001287639,0.00001122716],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006848657,"about_ca_system_score_gemma":0.0001471235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003691313,"about_ca_topic_score_gemma":0.000004868935,"domain_scores_codex":[0.9986636,0.00008731271,0.0005190999,0.0001552298,0.000416248,0.0001585254],"domain_scores_gemma":[0.9986196,0.0001285148,0.0006194855,0.0001347171,0.0003521228,0.0001455228],"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":[0.001855855,0.0007532798,0.00006654013,0.000008739773,0.000006551822,0.0004007501,0.0001571919,0.0001066103,0.9792787,0.00002941813,0.0002626749,0.01707368],"study_design_scores_gemma":[0.06593182,0.1174974,0.1475361,0.0007501563,0.003743377,0.03006754,0.00251724,0.06970647,0.4994839,0.000783353,0.05955967,0.002422987],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970204,0.00003032793,0.001773104,0.000180805,0.0004297336,0.0004372256,0.00006418332,0.0000146053,0.0000496278],"genre_scores_gemma":[0.9949912,0.00001336776,0.003553519,0.0001246686,0.0003608418,0.00001489346,0.000002536206,0.00002539055,0.0009135624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4797948,"threshold_uncertainty_score":0.4011441,"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."}}