{"id":"W1588428070","doi":"","title":"A Reinforcement Learning Model for Economic Agent Specialization","year":2010,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Reinforcement learning; Task (project management); Computer science; Social learning; Agent-based model; Microeconomics; Artificial intelligence; Economics; Knowledge management; Management","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001980679,0.00007971292,0.00008274633,0.000009672594,0.000798497,0.0001079047,0.0003702102,0.0000640525,0.0014125],"category_scores_gemma":[0.00002051159,0.00005206068,0.0001067736,0.00007907923,0.00005503022,0.0002022904,0.0002654055,0.0003431864,0.0007475684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001897441,"about_ca_system_score_gemma":0.00003575329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004182483,"about_ca_topic_score_gemma":0.001049462,"domain_scores_codex":[0.9988728,0.00004255167,0.0001487863,0.0002096997,0.0003290852,0.0003970613],"domain_scores_gemma":[0.999507,0.00009477286,0.00003902393,0.0002614094,0.00001679991,0.00008095549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00003818939,0.00001934942,0.004327094,0.00004308213,0.00003409394,2.764019e-7,0.006245504,0.9155093,0.004390446,0.001501299,0.06673913,0.001152177],"study_design_scores_gemma":[0.000209233,0.00003182081,0.0003693091,0.000003532147,0.000004658389,5.380214e-7,0.0002098357,0.9441702,0.0006305444,0.001442955,0.05285329,0.00007411178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9807787,0.000009631498,0.01015595,0.002126144,0.000416646,0.0007924205,0.000005581682,0.00004550673,0.005669406],"genre_scores_gemma":[0.9965714,0.00007608784,0.0002627294,0.0002081104,0.0005556073,0.0001329142,0.00001748018,0.00001414945,0.00216149],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02866082,"threshold_uncertainty_score":0.9995003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0471080679371151,"score_gpt":0.3271220350096017,"score_spread":0.2800139670724867,"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."}}