{"id":"W4406101144","doi":"10.1037/rev0000519","title":"A unified neurocomputational model of prospective and retrospective timing.","year":2025,"lang":"en","type":"article","venue":"Psychological Review","topic":"Neuroscience and Music Perception","field":"Neuroscience","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; National Research Council Canada","funders":"","keywords":"Psychology; Cognitive psychology; MEDLINE; Cognitive science; Political science","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":[0.0007688543,0.0005194875,0.0005028186,0.001036879,0.000450552,0.001983849,0.001714883,0.001686922,0.002736914],"category_scores_gemma":[0.001247343,0.0002360444,0.0005869096,0.0009557847,0.003849012,0.004572818,0.000920646,0.001810016,0.001097051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0019042,"about_ca_system_score_gemma":0.001744576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002495605,"about_ca_topic_score_gemma":0.00138245,"domain_scores_codex":[0.9997701,0.00005043005,0.00001821435,0.00006338691,0.00007973187,0.00001815546],"domain_scores_gemma":[0.9996893,0.0001438036,0.00003540697,0.0000385691,0.00006648032,0.00002636463],"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":[0.00002234267,0.000008997758,0.0002187279,0.0003976285,0.00003019189,0.00007106421,0.0002021228,0.003721471,0.0008533933,0.9005387,0.005929808,0.0880055],"study_design_scores_gemma":[0.00001212452,0.00002649843,0.001189221,0.0002291625,0.00003027396,0.0003459528,0.00009144919,0.008687872,0.0002698693,0.8980932,0.09100324,0.00002119179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0147452,0.3686056,0.3806764,0.04532401,0.002831659,0.0001283584,0.0007474655,0.0007311916,0.1862102],"genre_scores_gemma":[0.4466038,0.3596053,0.1465763,0.00699701,0.002773319,0.0005042514,0.0009545577,0.0001725056,0.03581292],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002736914,"threshold_uncertainty_score":0.01381606,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1185551808818481,"score_gpt":0.4014733920794455,"score_spread":0.2829182111975974,"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."}}