{"id":"W4411087569","doi":"10.7554/elife.106658","title":"Coordinated spinal locomotor network dynamics emerge from cell-type-specific connectivity patterns","year":2025,"lang":"en","type":"preprint","venue":"eLife","topic":"Zebrafish Biomedical Research Applications","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Discovery Centre","funders":"National Institute of Neurological Disorders and Stroke; National Institutes of Health","keywords":"Neuroscience; Dynamics (music); Network dynamics; Functional connectivity; Computer science; Biology; Psychology; Mathematics","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":[0.00007464152,0.0001731973,0.0001479906,0.000215086,0.0001243936,0.0003019339,0.0002076448,0.0001852137,0.001041863],"category_scores_gemma":[0.0003776552,0.0002106431,0.000206144,0.000111123,0.0003075073,0.0003786379,0.0002401134,0.0002222222,0.0001965534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005625439,"about_ca_system_score_gemma":0.0003297737,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306141,"about_ca_topic_score_gemma":0.005076414,"domain_scores_codex":[0.9999591,0.000005601945,0.000001691722,0.00001486978,0.0000103693,0.000008321495],"domain_scores_gemma":[0.9999149,0.00001760919,0.00003028318,0.00001258912,0.00001028089,0.00001444162],"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":[0.0001085349,0.00003166061,0.02304621,0.0001346252,0.0000686608,0.000357605,0.0003554857,0.1712458,0.7038344,0.06635263,0.001354794,0.03310961],"study_design_scores_gemma":[0.00003094279,0.00007366921,0.0784395,0.00002782755,0.00004154533,0.0002745881,0.0001525587,0.8337967,0.04363157,0.03997055,0.003527634,0.00003297212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8394966,0.000144546,0.1523432,0.0002285573,0.00001000477,0.00002249099,0.0003847927,0.0004021233,0.006967682],"genre_scores_gemma":[0.9871673,0.0001384727,0.01129348,0.0000171436,0.00000306694,0.00002678485,0.0001589991,0.00004107118,0.001153733],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002306141,"threshold_uncertainty_score":0.004585505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01594291943200141,"score_gpt":0.2966793156709298,"score_spread":0.2807363962389283,"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."}}