{"id":"W1972829642","doi":"10.1111/j.1756-8765.2010.01083.x","title":"AI and Cognitive Science: The Past and Next 30 Years","year":2010,"lang":"en","type":"article","venue":"Topics in Cognitive Science","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Cognition; Cognitive science; Psychology; Cognitive psychology; Neuroscience","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.002177869,0.0001185614,0.0001065381,0.0002337079,0.0007300408,0.0008550325,0.0008302613,0.00004556715,0.00001478797],"category_scores_gemma":[0.0008175688,0.00009209783,0.0000124688,0.001341487,0.003718383,0.001178366,0.0006312479,0.0005223923,0.00001324247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001523634,"about_ca_system_score_gemma":0.0003784493,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004490248,"about_ca_topic_score_gemma":0.00002003278,"domain_scores_codex":[0.9982618,0.00003790801,0.0001431093,0.0006219182,0.0004865897,0.0004486729],"domain_scores_gemma":[0.9988255,0.000447768,0.00006173574,0.0002205845,0.0002966678,0.0001477336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0000112727,0.00006311129,0.1357574,0.00001845564,0.000006335473,0.00007120321,0.02049202,0.000004506886,0.006229213,0.06031577,0.00007761913,0.7769531],"study_design_scores_gemma":[0.00104338,0.0002574601,0.9223117,0.0003090651,0.00001850218,0.0001486457,0.001694185,0.04482464,0.005647877,0.02181591,0.001287668,0.0006409326],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9767706,0.0001493131,0.01539054,0.002432577,0.0004565293,0.0002212931,0.000004605965,0.00004375659,0.004530806],"genre_scores_gemma":[0.9957404,0.00001216,0.002241313,0.001832172,0.00008330292,0.00001030704,3.52686e-7,0.000003309764,0.00007671589],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7865543,"threshold_uncertainty_score":0.9989929,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0257660203497997,"score_gpt":0.3060412672236866,"score_spread":0.2802752468738869,"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."}}