{"id":"W1550889988","doi":"10.1002/0470018860.s00018","title":"Computer Modeling of Cognition: Levels of Analysis","year":2005,"lang":"en","type":"other","venue":"Encyclopedia of Cognitive Science","topic":"Cognitive Science and Mapping","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Cognition; Computer science; Cognitive science; Cognitive psychology; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001195119,0.0003748368,0.001008602,0.002970967,0.00009588144,0.00004451965,0.00212331,0.0001584005,0.0007128802],"category_scores_gemma":[0.0004108459,0.0003602726,0.0003732266,0.006804261,0.001781526,0.0007546851,0.0007797134,0.0002183954,0.00002634014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002710185,"about_ca_system_score_gemma":0.0008572654,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008323858,"about_ca_topic_score_gemma":0.0000624873,"domain_scores_codex":[0.9957981,0.00009729778,0.0008666919,0.001065399,0.001638932,0.0005335539],"domain_scores_gemma":[0.9961041,0.0003439464,0.001126793,0.0006368289,0.001605231,0.0001831208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004987531,0.001422769,0.001880799,0.0008719972,0.002147744,0.00003997026,0.008917322,0.003021657,0.002425619,0.02137509,0.003449907,0.9543973],"study_design_scores_gemma":[0.004223761,0.001580774,0.02055971,0.01057543,0.004091043,0.0000366364,0.001859982,0.9168291,0.01654753,0.006722849,0.01229002,0.004683136],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0003602348,0.0002622507,0.5017223,0.00002193964,0.0002606428,0.0002529827,0.0001578567,0.00005032923,0.4969115],"genre_scores_gemma":[0.9142393,0.0005899333,0.05295995,0.0001155817,0.0003330005,0.00002014388,0.00001667723,0.00007584612,0.03164959],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9497141,"threshold_uncertainty_score":0.9998849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02335231937880969,"score_gpt":0.2828262819477437,"score_spread":0.259473962568934,"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."}}