{"id":"W2522855956","doi":"10.1007/978-3-319-47103-7_3","title":"Computational Role of Astrocytes in Bayesian Inference and Probability Distribution Encoding","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"","keywords":"Computer science; Encoding (memory); Bayesian probability; Inference; Probability distribution; Bayesian inference; Artificial intelligence; Bayesian network; Algorithm; Statistics; 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":[0.001377603,0.0003977425,0.0006910204,0.0004755643,0.0004746434,0.002366121,0.001512242,0.001181649,0.004354265],"category_scores_gemma":[0.009380871,0.0006415515,0.000750737,0.0006534745,0.001073331,0.003421361,0.001578165,0.002144186,0.0007962738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005360278,"about_ca_system_score_gemma":0.000621519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001865136,"about_ca_topic_score_gemma":0.002011511,"domain_scores_codex":[0.9996087,0.0001485168,0.00003009248,0.00007004749,0.000108334,0.00003428851],"domain_scores_gemma":[0.9967933,0.002299592,0.0001603956,0.0002654447,0.0003035269,0.000177685],"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":[0.0001804768,0.00005784442,0.0015726,0.0001545733,0.00008337194,0.0002297418,0.0003093215,0.1886428,0.009317543,0.6996654,0.003534843,0.09625143],"study_design_scores_gemma":[0.000007505306,0.00001198062,0.0002141344,0.00001350444,0.00001263518,0.00008072806,0.00002031221,0.5671231,0.00177687,0.4295059,0.00122064,0.00001262859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03275682,0.0006223165,0.9562466,0.001186595,0.0001469953,0.00001555132,0.0001277909,0.0002061808,0.008691167],"genre_scores_gemma":[0.6332553,0.001399203,0.3546281,0.0002838184,0.0002912111,0.00006463402,0.0003090948,0.0002876224,0.009480986],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004354265,"threshold_uncertainty_score":0.01456648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01598190916646198,"score_gpt":0.2397786932779488,"score_spread":0.2237967841114868,"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."}}