{"id":"W2082356126","doi":"10.1080/00222895.2010.526453","title":"Modularity for Sensorimotor Control: Evidence and a New Prediction","year":2010,"lang":"en","type":"article","venue":"Journal of Motor Behavior","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Modular design; Modularity (biology); Computer science; Motor control; Curse of dimensionality; Cognitive science; Control engineering; Psychology; Artificial intelligence; Neuroscience; Programming language; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004751187,0.001416434,0.001481406,0.001604627,0.0006866156,0.00215412,0.004032516,0.006780314,0.009074162],"category_scores_gemma":[0.01570962,0.0008406394,0.001395797,0.0006856929,0.01175013,0.01294222,0.003930507,0.005477168,0.001709766],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00085844,"about_ca_system_score_gemma":0.0004111822,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004479574,"about_ca_topic_score_gemma":0.0001879773,"domain_scores_codex":[0.9979199,0.0004095952,0.0001412135,0.0007926736,0.0005162351,0.0002203635],"domain_scores_gemma":[0.9848189,0.009062597,0.001632748,0.003043367,0.0008673933,0.0005749211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.001903387,0.0003844817,0.01304356,0.001653974,0.0005594373,0.001507863,0.001239937,0.01645447,0.01178828,0.8101265,0.0100835,0.1312547],"study_design_scores_gemma":[0.0003261406,0.0003415552,0.008025136,0.00015753,0.00009151032,0.0008561826,0.0001600045,0.02604427,0.002672297,0.9554251,0.005798611,0.0001016153],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2999292,0.03377079,0.3671363,0.2353737,0.003388405,0.0001282979,0.0007093006,0.001405698,0.05815828],"genre_scores_gemma":[0.9545264,0.007511512,0.02334106,0.00872773,0.003098332,0.0001134635,0.0002899923,0.0001378837,0.002253695],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009074162,"threshold_uncertainty_score":0.03035605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07663225018815926,"score_gpt":0.3053652989800009,"score_spread":0.2287330487918416,"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."}}