{"id":"W4407775661","doi":"10.3233/978-1-58603-925-7-33","title":"Trading Paper Clips &amp;ndash; An Analysis of &amp;ldquo;Trading Up&amp;rdquo; in Artificial Societies without Altruists","year":2008,"lang":"en","type":"book-chapter","venue":"Frontiers in artificial intelligence and applications","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CLIPS; Mathematical economics; Economics; Computer science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004660351,0.0002035901,0.0002585546,0.0008250083,0.001651355,0.003249744,0.0007395726,0.0009457267,0.01816733],"category_scores_gemma":[0.003069971,0.0001728776,0.0003016588,0.001494515,0.002042229,0.002367649,0.000808884,0.001056016,0.001117749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003358322,"about_ca_system_score_gemma":0.001180125,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126921,"about_ca_topic_score_gemma":0.0158997,"domain_scores_codex":[0.9996438,0.0001476199,0.0000109403,0.00004146465,0.00009427303,0.00006193098],"domain_scores_gemma":[0.9987414,0.0005671777,0.0001853218,0.0001019061,0.0001609747,0.0002431047],"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":[0.00003267877,0.00003266643,0.002017989,0.00004201035,0.00001601726,0.0003022547,0.0006634017,0.00436897,0.000185426,0.9584861,0.01759033,0.01626211],"study_design_scores_gemma":[0.0000250518,0.00003303458,0.01015134,0.0001119666,0.00002127063,0.0002723352,0.001773221,0.03563624,0.0003342011,0.7962326,0.1553691,0.00003964611],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1423543,0.007317958,0.04713813,0.01129561,0.0003870252,0.0001220532,0.0008208001,0.0001314835,0.7904326],"genre_scores_gemma":[0.8236821,0.002288626,0.007616499,0.0008400194,0.0001725064,0.000102967,0.0003853003,0.00006000683,0.1648518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01816733,"threshold_uncertainty_score":0.06077582,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1129523660159248,"score_gpt":0.2869380954572538,"score_spread":0.173985729441329,"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."}}