{"id":"W4408037501","doi":"10.1101/2025.02.27.640572","title":"Predictive Coding Explains Asymmetric Connectivity in the Brain: A Neural Network Study","year":2025,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Functional Brain Connectivity Studies","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto; The Scarborough Hospital","funders":"","keywords":"Predictive coding; Artificial neural network; Computer science; Functional connectivity; Coding (social sciences); Neuroscience; Artificial intelligence; Psychology; Mathematics; Statistics","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":[0.000401313,0.0002736705,0.0002350885,0.0002819999,0.0001938507,0.0004232402,0.0006364287,0.0004883421,0.001006511],"category_scores_gemma":[0.002392364,0.0001938775,0.0003267257,0.0002089949,0.0008215475,0.000861313,0.0004836789,0.0006381411,0.00006233731],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004881497,"about_ca_system_score_gemma":0.0002174126,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001775046,"about_ca_topic_score_gemma":0.001121222,"domain_scores_codex":[0.9999191,0.00003150402,0.000003553892,0.00001756132,0.00001631941,0.00001196638],"domain_scores_gemma":[0.9994394,0.0003589107,0.00008142091,0.00004714879,0.00004318195,0.00003000592],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001313002,0.00004986364,0.004310304,0.00006934716,0.00006239462,0.0003315816,0.0001409013,0.9337771,0.02646958,0.02520032,0.0003684997,0.009088842],"study_design_scores_gemma":[0.000003688745,0.00001529848,0.0009589352,0.000002647343,0.000006386442,0.00002310068,0.000009621478,0.9890994,0.001002581,0.008827284,0.00004766278,0.000003486989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8894044,0.0003454778,0.1065071,0.000858724,0.00002474919,0.00001890987,0.00005342421,0.0001101506,0.002677014],"genre_scores_gemma":[0.9979505,0.00006117675,0.001825125,0.00000935565,0.000005193699,0.000005071297,0.000008199678,0.000005726274,0.0001295196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001775046,"threshold_uncertainty_score":0.003541768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03586382162282616,"score_gpt":0.2588068434248515,"score_spread":0.2229430218020253,"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."}}