{"id":"W3000001826","doi":"10.1123/mc.2019-0049","title":"Performance-Stabilizing Synergies in a Complex Motor Skill: Analysis Based on the Uncontrolled Manifold Hypothesis","year":2020,"lang":"en","type":"article","venue":"Motor Control","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Throwing; Hierarchy; Mathematics; Ball (mathematics); Motor control; Motor learning; Stability (learning theory); Psychology; Physical medicine and rehabilitation; Computer science; Mathematical analysis; Medicine; Machine learning; Neuroscience; 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":[0.0007666649,0.0002428114,0.0002373242,0.0007099031,0.0001289161,0.0003068024,0.0001554065,0.0001635144,0.0007042107],"category_scores_gemma":[0.006027448,0.0001258566,0.0002817908,0.0003907428,0.0005440815,0.0003637915,0.0004272598,0.0002348016,0.00005829237],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001915644,"about_ca_system_score_gemma":0.0002016057,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007034899,"about_ca_topic_score_gemma":0.0006272257,"domain_scores_codex":[0.9997185,0.00006572978,0.0000264214,0.00007310441,0.00009087247,0.00002527083],"domain_scores_gemma":[0.9978383,0.001475966,0.0002880302,0.0001734567,0.0001450321,0.00007935091],"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":[0.00219256,0.0004499303,0.1342868,0.0002969638,0.0005735326,0.0006832225,0.002401845,0.0576087,0.5560654,0.01215065,0.0002664211,0.2330241],"study_design_scores_gemma":[0.00005304322,0.001837885,0.7581458,0.0000218964,0.0001262462,0.0006191839,0.0003182338,0.1936077,0.03113355,0.01341198,0.0006288567,0.00009559651],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9640691,0.0000752053,0.03519798,0.00002640085,0.0000037288,0.00002114705,0.00003084089,0.00003128698,0.0005443679],"genre_scores_gemma":[0.9958684,0.00001442393,0.003992087,0.000002691068,0.000002206631,0.000009275447,0.0000214727,0.00000477292,0.00008453501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007666649,"threshold_uncertainty_score":0.004054546,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05021109811984602,"score_gpt":0.2253791559818964,"score_spread":0.1751680578620504,"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."}}