{"id":"W2067841796","doi":"10.1016/j.humov.2004.10.011","title":"Background visual cues and memory-guided reaching","year":2004,"lang":"en","type":"article","venue":"Human Movement Science","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":105,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Context (archaeology); Visual field; Sensory cue; Trajectory; Psychology; Visual feedback; Motor control; Computer vision; Computer science; Visual search; Object (grammar); Visual control; Visual memory; Cognition; Artificial intelligence; Cognitive psychology; Physics; Neuroscience","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":[0.0002480136,0.0004481714,0.0002682602,0.0002401155,0.0002598176,0.001054292,0.0008852632,0.001233636,0.00998687],"category_scores_gemma":[0.002207582,0.0001350543,0.0001741942,0.0003337627,0.0005578407,0.0008698799,0.0005685401,0.0005842786,0.001052404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003736536,"about_ca_system_score_gemma":0.0005330982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002311491,"about_ca_topic_score_gemma":0.00172272,"domain_scores_codex":[0.9998538,0.00001688488,0.000008191098,0.00006122296,0.00003076072,0.00002906096],"domain_scores_gemma":[0.999431,0.0003206534,0.00007523221,0.0000454202,0.00007365083,0.00005415373],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002913853,0.0003050369,0.003650342,0.005146261,0.000119452,0.001238952,0.0006040733,0.01288786,0.246628,0.1028065,0.01444146,0.6092582],"study_design_scores_gemma":[0.0006383581,0.002348298,0.05795651,0.003066987,0.000524402,0.004191862,0.000770394,0.04351982,0.1973388,0.4448198,0.2445216,0.0003031142],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4734311,0.1791727,0.1551661,0.01443284,0.004194048,0.0002887832,0.002967738,0.001652847,0.1686938],"genre_scores_gemma":[0.9570009,0.01819491,0.0101557,0.001103382,0.0009541256,0.00008633595,0.0006708162,0.0001119324,0.01172195],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00998687,"threshold_uncertainty_score":0.03340942,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07259891739155745,"score_gpt":0.3301695944452849,"score_spread":0.2575706770537274,"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."}}