{"id":"W4220839546","doi":"10.31219/osf.io/cew42","title":"CogNGen: Constructing the Kernel of a Hyperdimensional Predictive Processing Cognitive Architecture","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cognitive architecture; Computer science; Cognition; Artificial intelligence; Cognitive model; Machine learning; Generative model; Soar; Cognitive science; Generative grammar; Psychology","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":[0.0005759968,0.0003083163,0.0004100282,0.0004124535,0.000383886,0.00123322,0.001104682,0.0006002511,0.002835435],"category_scores_gemma":[0.002222178,0.0003246447,0.0007951023,0.0002914543,0.001840573,0.002127522,0.001612727,0.001150272,0.0003989751],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008431339,"about_ca_system_score_gemma":0.0008338543,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003207716,"about_ca_topic_score_gemma":0.00275035,"domain_scores_codex":[0.9997528,0.000070953,0.00001048637,0.00007124973,0.00005927508,0.00003522418],"domain_scores_gemma":[0.9993838,0.0002170785,0.00005314078,0.0001840147,0.0001071825,0.00005473131],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001309145,0.00006893726,0.002587653,0.00009767314,0.00009859723,0.0001966246,0.0003994975,0.3153956,0.007471785,0.5779277,0.002089443,0.09353554],"study_design_scores_gemma":[0.0000106331,0.0000258349,0.0002346954,0.00001049985,0.0000117125,0.00003703154,0.0000241507,0.8122887,0.001465075,0.1840695,0.001812375,0.00000972573],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04206079,0.00008727011,0.9519296,0.0003533639,0.00002539271,0.00003330715,0.00006074543,0.0005508396,0.004898765],"genre_scores_gemma":[0.643123,0.0001626086,0.3527086,0.0001759708,0.00002777862,0.0001229376,0.0001450625,0.0001159346,0.003418096],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003207716,"threshold_uncertainty_score":0.009485424,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01890767483563658,"score_gpt":0.2650716578932372,"score_spread":0.2461639830576006,"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."}}