{"id":"W3021436848","doi":"10.1523/jneurosci.0300-20.2020","title":"Parietal Cortex Integrates Saccade and Object Orientation Signals to Update Grasp Plans","year":2020,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Canadian Institutes of Health Research","keywords":"Intraparietal sulcus; Supramarginal gyrus; Posterior parietal cortex; Superior parietal lobule; Saccade; GRASP; Parietal lobe; Psychology; Neuroscience; Orientation (vector space); Eye movement; Gaze; Functional magnetic resonance imaging; Computer vision; Computer science","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":[0.0002252342,0.0002873514,0.0001912538,0.0003324369,0.0001008538,0.0003756928,0.0001890208,0.0002893589,0.00221092],"category_scores_gemma":[0.0006166271,0.0001533782,0.0002381711,0.0001328604,0.0004400044,0.0002712081,0.0003613315,0.0001727462,0.0003858706],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002112109,"about_ca_system_score_gemma":0.0003040417,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001120168,"about_ca_topic_score_gemma":0.001302693,"domain_scores_codex":[0.999904,0.00001078822,0.000004406715,0.00003579822,0.00002109565,0.00002387094],"domain_scores_gemma":[0.9998561,0.00003225456,0.00004388377,0.00002111907,0.00002283168,0.00002372738],"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":[0.0004522874,0.00004896224,0.02573347,0.00009233471,0.0001233486,0.000779426,0.0001276697,0.0009880947,0.9148259,0.001099298,0.0003175857,0.05541159],"study_design_scores_gemma":[0.0001309633,0.0009833287,0.8276232,0.00003716314,0.0001838566,0.002169717,0.0003060736,0.01065912,0.1495356,0.00531132,0.003026746,0.00003291046],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9658998,0.0006280756,0.02686559,0.0003993418,0.00004345168,0.00004952273,0.000235436,0.0003611256,0.005517728],"genre_scores_gemma":[0.9960748,0.0001758296,0.002783533,0.0000929154,0.00002096102,0.00001379682,0.00009463447,0.00001702465,0.0007264973],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00221092,"threshold_uncertainty_score":0.007396221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04208512119348454,"score_gpt":0.2804980491933299,"score_spread":0.2384129279998454,"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."}}