{"id":"W4410947306","doi":"10.1101/2025.05.30.657019","title":"Emergent Leadership Driven by Asymmetric Stability Shapes Learning in Dyadic Motor Coordination","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Stability (learning theory); Motor learning; Motor coordination; Psychology; Cognitive psychology; Control theory (sociology); Cognitive science; Computer science; Artificial intelligence; Neuroscience; Machine learning; Control (management)","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":[0.0004090647,0.0001700577,0.000275712,0.0002747615,0.0002972865,0.0006827709,0.0002536635,0.0002228029,0.00151535],"category_scores_gemma":[0.002478365,0.0001963801,0.0001264395,0.0001398175,0.0006841088,0.0003762042,0.0008603405,0.0004557415,0.0001519138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004039596,"about_ca_system_score_gemma":0.0002814817,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008216747,"about_ca_topic_score_gemma":0.0009602431,"domain_scores_codex":[0.9996608,0.0001071053,0.00001764386,0.00008596329,0.00006708191,0.00006134305],"domain_scores_gemma":[0.9992234,0.0002367175,0.0001941772,0.00008971323,0.00009466302,0.0001613865],"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":[0.0006898133,0.0003090847,0.03910879,0.0001533073,0.00009904522,0.0006366991,0.00174726,0.03581649,0.8662904,0.009745384,0.0009161728,0.0444875],"study_design_scores_gemma":[0.0001113145,0.001118155,0.3695787,0.00004432823,0.00005817941,0.0005527257,0.00210612,0.4926232,0.1026214,0.02880207,0.002285644,0.00009823588],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869398,0.00003321518,0.01142648,0.00004476838,0.000006595356,0.00001195834,0.00002464769,0.00004097035,0.001471592],"genre_scores_gemma":[0.9990584,0.000007317367,0.0007783995,0.000003761743,0.000001463317,0.000007836326,0.00000849137,0.000005248442,0.0001290579],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00151535,"threshold_uncertainty_score":0.005069375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04410720668853527,"score_gpt":0.2412469340208692,"score_spread":0.1971397273323339,"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."}}