{"id":"W4376988662","doi":"10.48550/arxiv.2305.09091","title":"AAAI 2022 Fall Symposium: System-1 and System-2 realized within the Common Model of Cognition","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Cognition; CLARITY; Cognitive systems; Metacognition; Cognitive science; Model system; Computer science; Cognitive psychology; Dual (grammatical number); Psychology; System model; Neuroscience; Software engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010533,0.0002702696,0.0004450945,0.0003031293,0.0003245754,0.0001492111,0.00152511,0.0001859713,5.768161e-7],"category_scores_gemma":[0.00002813266,0.0002423029,0.0001507485,0.0007511378,0.0002449635,0.0003584248,0.002517376,0.0004174745,0.00002155876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643299,"about_ca_system_score_gemma":0.0002247624,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008663784,"about_ca_topic_score_gemma":0.0002067669,"domain_scores_codex":[0.9979044,0.0002993468,0.0003349292,0.0009683408,0.0002094979,0.0002835055],"domain_scores_gemma":[0.9978899,0.0002134973,0.0005199423,0.0009495395,0.000309795,0.0001173675],"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":[0.00004453112,0.00005254959,0.0008096704,0.001513414,0.0001687099,0.0001858484,0.001942743,0.2321257,0.001331667,0.7614582,0.0002098438,0.0001571668],"study_design_scores_gemma":[0.0003878987,0.00003541569,0.0001789862,0.0009066747,0.000138222,0.00001263458,0.001708261,0.9831337,0.0001989974,0.01302338,0.000005612448,0.000270261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2780572,0.00006112996,0.7121119,0.0002661608,0.0008515712,0.0009147626,0.0001039226,0.0005523803,0.007080945],"genre_scores_gemma":[0.9987147,0.0001153963,0.0003042863,0.00004839032,0.00002894685,0.000005048351,0.00001687959,0.00001465199,0.0007516815],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.751008,"threshold_uncertainty_score":0.9880826,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0929504902532415,"score_gpt":0.2005009509136785,"score_spread":0.107550460660437,"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."}}