{"id":"W2053381765","doi":"10.1523/jneurosci.2658-05.2005","title":"Eye–Hand Coordination during Learning of a Novel Visuomotor Task","year":2005,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":296,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Medical Research Council; European Commission","keywords":"Gaze; Cursor (databases); Eye–hand coordination; Eye movement; Computer science; Hand position; Task (project management); Eye tracking; Visual search; Visual feedback; Artificial intelligence; Computer vision; Psychology; Human–computer interaction","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":[0.0001818608,0.00035253,0.0004304346,0.0001114255,0.0001450183,0.0002069343,0.0001573098,0.000214527,0.0007021092],"category_scores_gemma":[0.001026506,0.0001476694,0.0001069503,0.00006134237,0.0002499955,0.0001617804,0.0002624036,0.0004537558,0.0001340873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002148232,"about_ca_system_score_gemma":0.0001918589,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001770348,"about_ca_topic_score_gemma":0.003173197,"domain_scores_codex":[0.9998851,0.00002346116,0.000006600518,0.00003486486,0.00002284872,0.0000270913],"domain_scores_gemma":[0.9997311,0.00008435037,0.00006044206,0.00003870889,0.00002966417,0.00005568715],"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":[0.001319706,0.0009564913,0.01455581,0.00007088438,0.00004234359,0.0001178435,0.0005849056,0.0009846532,0.9546893,0.00006073456,0.00009231622,0.02652496],"study_design_scores_gemma":[0.0002614431,0.01616438,0.6881279,0.00002245593,0.00006799863,0.0004041567,0.0004247184,0.02220909,0.2700771,0.0007476323,0.001438679,0.00005452843],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994399,0.00002167941,0.0003678559,0.000007457963,0.000001355161,0.000008970097,0.00001755399,0.00001622171,0.0001189744],"genre_scores_gemma":[0.9982236,0.00005628179,0.0008225948,0.00001314963,0.00000322358,0.00002428321,0.00009764954,0.000009028027,0.0007503255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001770348,"threshold_uncertainty_score":0.003520131,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0298876621136253,"score_gpt":0.2786273496561811,"score_spread":0.2487396875425558,"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."}}