{"id":"W2749715376","doi":"10.1101/176081","title":"Multiple tasks viewed from the neural manifold: Stable control of varied behavior","year":2017,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"National Center for Medical Rehabilitation Research; FP7 People: Marie-Curie Actions; European Commission; National Science Foundation","keywords":"Flexibility (engineering); Repertoire; Neuroscience; Artificial neural network; Population; Task (project management); Motor control; Computer science; Motor cortex; GRASP; Primary motor cortex; Artificial intelligence; Biology; Mathematics; Physics; 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":[0.0002482919,0.0001659669,0.000253473,0.0002428127,0.0001898964,0.0005933043,0.0002328646,0.0002188132,0.0008703285],"category_scores_gemma":[0.001066768,0.0001760063,0.0001853347,0.0001745941,0.0006798736,0.0005948535,0.0006297643,0.0003131492,0.0001117654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002980471,"about_ca_system_score_gemma":0.0001572937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006675211,"about_ca_topic_score_gemma":0.0008772221,"domain_scores_codex":[0.9998956,0.00002208556,0.000005389822,0.00003718679,0.00002192147,0.0000178823],"domain_scores_gemma":[0.9997304,0.00007683993,0.00006258801,0.00006690838,0.00002366099,0.00003951957],"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":[0.0002996236,0.00007860168,0.02329008,0.0001307872,0.0001617455,0.0003412241,0.001103346,0.06478038,0.8075736,0.02915947,0.0006818555,0.07239946],"study_design_scores_gemma":[0.00005740371,0.0003506265,0.2691759,0.00005161525,0.00007278979,0.0005734158,0.0006264039,0.5795224,0.06504541,0.08137467,0.003061085,0.00008840637],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9604995,0.0001380439,0.03657922,0.0001547961,0.000005822965,0.000009447414,0.00007288039,0.0001022319,0.002438087],"genre_scores_gemma":[0.9962781,0.00002887215,0.003436333,0.00001051991,0.000003094508,0.000008121141,0.00002110906,0.00001236602,0.0002015085],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008703285,"threshold_uncertainty_score":0.002911508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02816235917363129,"score_gpt":0.2344323187831249,"score_spread":0.2062699596094936,"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."}}