{"id":"W2947954827","doi":"10.1523/eneuro.0136-19.2019","title":"Handedness Matters for Motor Control But Not for Prediction","year":2019,"lang":"en","type":"article","venue":"eNeuro","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"Horizon 2020; Research Executive Agency; European Commission","keywords":"Gaze; Task (project management); Motor control; Eye tracking; Cognitive psychology; Control (management); Psychology; Motion (physics); Tracking (education); Computer science; Contrast (vision); Trajectory; Physical medicine and rehabilitation; Artificial intelligence; Neuroscience; Medicine; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009383418,0.00009484345,0.0001247981,0.00004509581,0.00008766453,0.00004525177,0.0001147622,0.00003741204,0.00002531879],"category_scores_gemma":[0.0002610192,0.00008614235,0.00009109358,0.0000368841,0.00001667086,0.0001505472,0.000007758348,0.00004135161,0.00004673941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000147879,"about_ca_system_score_gemma":0.00001714676,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003702823,"about_ca_topic_score_gemma":8.537199e-7,"domain_scores_codex":[0.9991795,0.00003370666,0.0001491409,0.0003060743,0.0001324488,0.0001990641],"domain_scores_gemma":[0.9991963,0.0005000681,0.00007285763,0.000149268,0.00003463028,0.00004689114],"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":[0.0004513565,0.00001858892,0.00007185386,0.00003012793,0.000002455794,5.394127e-7,0.00002701721,0.0002507353,0.9966083,0.0009207436,0.0004881141,0.001130159],"study_design_scores_gemma":[0.01263495,0.001202696,0.01159723,0.00002582115,0.00005604875,0.000009977004,0.00002785942,0.2186391,0.619678,0.0007972234,0.1349892,0.0003418657],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.805023,0.000007754968,0.1815673,0.004417682,0.003673954,0.003621319,0.001245977,0.0001916364,0.000251338],"genre_scores_gemma":[0.9865799,0.000001771188,0.0001520491,0.008098266,0.0002294258,0.0003822264,0.000008992315,0.00002271223,0.004524685],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3769303,"threshold_uncertainty_score":0.3512783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02347313763516325,"score_gpt":0.2381749789020129,"score_spread":0.2147018412668497,"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."}}