{"id":"W4413127400","doi":"10.1101/2025.08.12.669938","title":"A Computational Model of Action Specification in the Basal Ganglia","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Research Council Canada","keywords":"Basal ganglia; Action (physics); Computer science; Process (computing); Computational model; Neuroscience; Psychology; Physics; Artificial intelligence; Programming language; Central nervous system","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":[0.0004427909,0.0002222764,0.0003877268,0.0003409651,0.0004111263,0.001938605,0.001289363,0.0008040556,0.00432283],"category_scores_gemma":[0.001096112,0.0002223067,0.0006312489,0.0003379258,0.001662689,0.00201885,0.0008953554,0.0008325272,0.0004018636],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001186728,"about_ca_system_score_gemma":0.001147522,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005587129,"about_ca_topic_score_gemma":0.004125633,"domain_scores_codex":[0.9997148,0.0001023561,0.00001533007,0.00005291681,0.00008150029,0.00003301097],"domain_scores_gemma":[0.9995597,0.0002338058,0.00004759933,0.0000611455,0.00005660987,0.00004124021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008086428,0.00003165272,0.0007959819,0.00005005788,0.0000271281,0.000208207,0.0003339518,0.3245936,0.004703588,0.6622246,0.0005070065,0.006443462],"study_design_scores_gemma":[0.00002260333,0.00002607686,0.000168076,0.00001142884,0.000008686598,0.00004293947,0.00005284456,0.8250912,0.0008878723,0.172086,0.001592437,0.000009830372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.155725,0.00023407,0.808774,0.00146536,0.00005062867,0.00006650046,0.0004191072,0.0007058507,0.03255954],"genre_scores_gemma":[0.9369304,0.0001293878,0.0585575,0.00006582277,0.00001409501,0.00009151189,0.0001544507,0.00004146792,0.004015426],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005587129,"threshold_uncertainty_score":0.01446128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06402535577615501,"score_gpt":0.269940792859927,"score_spread":0.205915437083772,"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."}}