{"id":"W2900204893","doi":"10.5539/ijps.v10n4p53","title":"Bayesian Modeling of Working Memory and Inhibitory Control","year":2018,"lang":"en","type":"article","venue":"International Journal of Psychological Studies","topic":"Neural and Behavioral Psychology Studies","field":"Neuroscience","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Working memory; Psychology; Cognition; Cognitive psychology; Inhibitory control; Bayesian probability; Bayes' theorem; Bayesian inference; Cognitive neuroscience; Computer science; Artificial intelligence; Neuroscience","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003531047,0.0008645869,0.001200518,0.0009337736,0.0005391173,0.002131439,0.002444698,0.001449144,0.003750937],"category_scores_gemma":[0.01329395,0.0005509713,0.001021949,0.0007969562,0.001567044,0.00214935,0.001190469,0.001306808,0.000510643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001146285,"about_ca_system_score_gemma":0.00110997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00911387,"about_ca_topic_score_gemma":0.005776351,"domain_scores_codex":[0.9989752,0.0004960355,0.00003974057,0.0001695907,0.0001668606,0.0001526678],"domain_scores_gemma":[0.9944449,0.004132275,0.0005288333,0.0002954115,0.0003839689,0.000214593],"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":[0.0002573001,0.0001076647,0.003897417,0.0001170415,0.0001132782,0.0002034298,0.0004309639,0.6505222,0.001965965,0.3184886,0.001424228,0.02247185],"study_design_scores_gemma":[0.00002387313,0.00003043727,0.0007561203,0.00001548751,0.00001953343,0.00003981606,0.00002184747,0.9078491,0.0001833912,0.0903903,0.0006508297,0.00001924802],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1299614,0.001168499,0.8558828,0.00115053,0.00008487686,0.00008397638,0.0003281395,0.0002272671,0.01111251],"genre_scores_gemma":[0.928194,0.001423169,0.05561124,0.0001813467,0.000127647,0.0002778304,0.0003321999,0.00008350769,0.01376898],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00911387,"threshold_uncertainty_score":0.01867419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3440923491327336,"score_gpt":0.4616247210481496,"score_spread":0.1175323719154159,"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."}}