{"id":"W2607105973","doi":"10.15173/m.v1i23.826","title":"Internal Models of Motor Control: Reach Adaptation and Task Autism","year":2013,"lang":"en","type":"article","venue":"The Meducator","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Autism; Task (project management); Adaptation (eye); Control (management); Motor control; Psychology; Peer review; Physical medicine and rehabilitation; Cognitive psychology; Medicine; Neuroscience; Computer science; Developmental psychology; Biology; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0001309647,0.00007941032,0.000111667,0.00003761857,0.00005011198,0.00004459727,0.0002583991,0.00002400017,0.00004492322],"category_scores_gemma":[0.00007649606,0.00004879214,0.0000290729,0.00004839182,0.000133715,0.0001905906,0.00004637924,0.00009284854,0.00003089072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001022867,"about_ca_system_score_gemma":0.00002810027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003171726,"about_ca_topic_score_gemma":0.000002954747,"domain_scores_codex":[0.9993128,0.000102735,0.0001539266,0.0001639287,0.0001351514,0.000131418],"domain_scores_gemma":[0.9993941,0.0002705676,0.00008380581,0.0001760546,0.00002077265,0.00005475184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004230232,0.00009861773,0.00008974596,0.00002311818,0.00001540606,0.000001007595,0.01099488,0.0001511494,0.9580113,0.01207167,0.002843405,0.01565734],"study_design_scores_gemma":[0.00160074,0.0005444331,0.01158355,0.0001577508,0.00005342692,0.0001234555,0.001971525,0.4831734,0.4353431,0.0624488,0.002577927,0.000421856],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914235,0.000119129,0.00381736,0.003052958,0.0003808489,0.0002396582,0.00000876329,0.00002551111,0.0009323034],"genre_scores_gemma":[0.9980605,0.000009902665,0.0003047377,0.0007006223,0.00005717052,0.00002623779,2.54116e-7,0.000008182135,0.0008324073],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5226682,"threshold_uncertainty_score":0.1989686,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03412829297272518,"score_gpt":0.2568341892303474,"score_spread":0.2227058962576222,"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."}}