{"id":"W2717681899","doi":"10.1111/tops.12277","title":"Representation and Computation in Cognitive Models","year":2017,"lang":"en","type":"article","venue":"Topics in Cognitive Science","topic":"Constraint Satisfaction and Optimization","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"Air Force Office of Scientific Research; Office of Naval Research; National Science Foundation","keywords":"Cognition; Representation (politics); Computation; Computer science; Cognitive science; Cognitive model; Artificial intelligence; Theoretical computer science; Cognitive psychology; Psychology; Algorithm","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":[0.0004897785,0.00006987661,0.00009079956,0.0002546601,0.0003030864,0.0004117923,0.0002735259,0.00003057015,0.000006098434],"category_scores_gemma":[0.0006343105,0.00007569624,0.00001095148,0.0003799197,0.0004811734,0.00232601,0.0002136331,0.0001066197,0.000003087839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004523455,"about_ca_system_score_gemma":0.0001043124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001120589,"about_ca_topic_score_gemma":0.0002390886,"domain_scores_codex":[0.9989897,0.00003866315,0.0001574295,0.0004131928,0.0002349637,0.0001660335],"domain_scores_gemma":[0.9993604,0.0001337263,0.0001074753,0.0001422417,0.0002074302,0.0000486829],"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":[0.00001224952,0.0000458451,0.1010848,0.000005406736,0.000002138645,0.00002825884,0.003558754,0.001792478,0.00009841158,0.03339048,0.000003205036,0.859978],"study_design_scores_gemma":[0.0005379714,0.00001721562,0.4726843,0.00006738566,0.000001231376,0.000006944906,0.0002802413,0.5015546,0.0004758968,0.02428649,9.393801e-7,0.00008672067],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2978967,0.00001391949,0.6832139,0.0006342831,0.0001977496,0.0002143324,0.000001835555,0.00002202544,0.01780521],"genre_scores_gemma":[0.9916766,0.00003025467,0.008075251,0.0001294368,0.00001463067,0.00001088844,0.000001539578,0.000001763491,0.00005968157],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8598912,"threshold_uncertainty_score":0.3970922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1057287436027888,"score_gpt":0.388826642501243,"score_spread":0.2830978988984542,"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."}}