{"id":"W4407775661","doi":"10.3233/978-1-58603-925-7-33","title":"Trading Paper Clips – An Analysis of “Trading Up” 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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006699677,0.0004523547,0.001466442,0.00132034,0.0002536213,0.0001106682,0.0004593123,0.0005124687,0.0004514757],"category_scores_gemma":[0.00003918665,0.0005857145,0.0003902706,0.000422828,0.0005904493,0.0003205304,0.0000715045,0.000538715,0.00007825995],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002652365,"about_ca_system_score_gemma":0.00006663641,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003497481,"about_ca_topic_score_gemma":0.003037178,"domain_scores_codex":[0.9962499,0.00002299723,0.002112078,0.00105876,0.00008267059,0.0004736606],"domain_scores_gemma":[0.9980575,0.00009017481,0.0008591536,0.0007783414,0.00005758911,0.0001571941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006118259,0.0001482156,0.005921129,0.00005438089,0.0003745599,6.937866e-7,0.004947639,0.001671363,0.00004471696,0.9712985,0.001327097,0.01415054],"study_design_scores_gemma":[0.00005865189,0.0000280235,0.0002364874,0.00006045257,0.000155468,0.000002248956,0.0009187215,0.008992342,0.00006763011,0.800383,0.1883105,0.0007865279],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1002414,0.01082178,0.7792996,0.0005603901,0.001960097,0.002390596,0.002298256,0.0001404064,0.1022875],"genre_scores_gemma":[0.922743,0.01225021,0.01705367,0.000283555,0.0008381596,0.0004130728,0.001092876,0.000197343,0.04512813],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8225015,"threshold_uncertainty_score":0.9996594,"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."}}