{"id":"W3214120855","doi":"10.1007/s00221-021-06271-w","title":"Eye–hand coordination: memory-guided grasping during obstacle avoidance","year":2021,"lang":"en","type":"article","venue":"Experimental Brain Research","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"GRASP; Psychology; Obstacle avoidance; Fixation (population genetics); Perception; Computer vision; Gaze; Cognitive psychology; Artificial intelligence; Salience (neuroscience); Communication; Visual perception; Computer science; Neuroscience; Robot","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":[0.0002381749,0.0003107894,0.0002480231,0.0001946022,0.0002265119,0.0004330295,0.0002190058,0.0003292488,0.001537016],"category_scores_gemma":[0.00165002,0.0002246626,0.0001135155,0.0001758232,0.0003500271,0.0002964298,0.0003013053,0.0003125092,0.0001600932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002641696,"about_ca_system_score_gemma":0.0003945529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468018,"about_ca_topic_score_gemma":0.002924773,"domain_scores_codex":[0.9999011,0.00001964229,0.000006499276,0.00002887089,0.00001707667,0.00002679232],"domain_scores_gemma":[0.999787,0.00008810475,0.00004940928,0.00002686987,0.00001628149,0.00003218458],"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":[0.001872076,0.00007893089,0.00664608,0.00009165824,0.00005760209,0.0001911233,0.0002387322,0.002863725,0.9557456,0.001445349,0.0003874846,0.03038167],"study_design_scores_gemma":[0.0002331352,0.001506069,0.727577,0.00009519793,0.0001371413,0.001122405,0.0004729753,0.0798554,0.1781603,0.008029293,0.0027402,0.00007092898],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.986715,0.0003565537,0.009934566,0.00009778016,0.00003195845,0.00002190441,0.00008025515,0.00008474517,0.002677174],"genre_scores_gemma":[0.9979663,0.00008672117,0.00128498,0.00001732944,0.000006113149,0.00001141011,0.00003419103,0.00002996943,0.0005631278],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002468018,"threshold_uncertainty_score":0.005141854,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1180141584829262,"score_gpt":0.4058518370685668,"score_spread":0.2878376785856406,"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."}}