{"id":"W4387526217","doi":"10.1152/jn.00372.2022","title":"Visual feedback decoding during bimanual circle drawing","year":2023,"lang":"en","type":"article","venue":"Journal of Neurophysiology","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Movement (music); Task (project management); Visual feedback; Communication; Psychology; Decoding methods; Computer science; Cognitive psychology; Physical medicine and rehabilitation; Computer vision; Medicine","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":[0.0003400967,0.0004563303,0.000439303,0.0003832555,0.0001678927,0.0005436888,0.0003839793,0.000587234,0.002179887],"category_scores_gemma":[0.007928425,0.0002143027,0.0001121401,0.0004560922,0.0002846995,0.0004662437,0.0004037147,0.0004734527,0.0003795699],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000224108,"about_ca_system_score_gemma":0.0003248416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002324863,"about_ca_topic_score_gemma":0.002303628,"domain_scores_codex":[0.99955,0.0001280611,0.00002897358,0.0001031836,0.0001254345,0.00006426102],"domain_scores_gemma":[0.9988318,0.0007499654,0.0001442708,0.00008445004,0.0001142284,0.00007523595],"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":[0.002428954,0.0001909822,0.00564499,0.0002805581,0.00005228881,0.0006263048,0.0009367584,0.008036596,0.782743,0.001324133,0.000879335,0.1968562],"study_design_scores_gemma":[0.0002655343,0.001208432,0.3371465,0.0001186198,0.0001174119,0.001920057,0.0006830807,0.2628426,0.3830065,0.006825461,0.005675073,0.0001906786],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9635342,0.0005090294,0.02874366,0.00009881584,0.00009155039,0.00008611016,0.0001632549,0.0005533341,0.006220047],"genre_scores_gemma":[0.9951274,0.00007692667,0.003778745,0.000023472,0.000009779176,0.00001194429,0.0000659514,0.00005027419,0.0008554102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002324863,"threshold_uncertainty_score":0.007292449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03213254049768387,"score_gpt":0.2887934508596818,"score_spread":0.256660910361998,"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."}}