{"id":"W1981395566","doi":"10.1016/j.cogsys.2007.06.006","title":"Deconstructing and reconstructing ACT-R: Exploring the architectural space","year":2007,"lang":"en","type":"article","venue":"Cognitive Systems Research","topic":"Neural Networks and Applications","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Python (programming language); Computer science; Cognitive architecture; Architecture; Theoretical computer science; Cognitive science; Programming language; Space (punctuation); Syntax; Cognition; Computational model; Artificial intelligence; 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":[0.002187086,0.0009632366,0.000475236,0.001154642,0.001143887,0.004590302,0.001838012,0.001127066,0.006164143],"category_scores_gemma":[0.01406742,0.0007524338,0.001153439,0.0009692186,0.005554872,0.007530541,0.002570705,0.002614434,0.001497503],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001071182,"about_ca_system_score_gemma":0.001785657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007019373,"about_ca_topic_score_gemma":0.01177689,"domain_scores_codex":[0.998464,0.001014571,0.00005186981,0.000269523,0.0001235963,0.00007655254],"domain_scores_gemma":[0.9957675,0.002036815,0.0003055982,0.001353169,0.0003448004,0.0001921758],"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":[0.0001604979,0.00004642461,0.008063867,0.0002084688,0.0000694866,0.0004057325,0.004080593,0.0680979,0.002388261,0.8024233,0.003000613,0.1110548],"study_design_scores_gemma":[0.00001359567,0.00002863376,0.001111178,0.00005238003,0.0000259204,0.0001861088,0.0008443501,0.1805598,0.001405015,0.8089371,0.006807808,0.00002803372],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09669458,0.0005284765,0.8756631,0.002253964,0.00007651038,0.00004968409,0.000365362,0.001209352,0.02315899],"genre_scores_gemma":[0.7201757,0.0004042958,0.2720565,0.0001924812,0.00002314472,0.0000705826,0.000679087,0.0005321636,0.005866022],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007019373,"threshold_uncertainty_score":0.02062106,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1791555572690862,"score_gpt":0.3799551836157218,"score_spread":0.2007996263466356,"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."}}