{"id":"W1980384778","doi":"10.1177/0951629811398687","title":"Paradox lost: Explaining and modeling seemingly random individual behavior in social dilemmas","year":2011,"lang":"en","type":"article","venue":"Journal of Theoretical Politics","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; University of Manitoba","funders":"","keywords":"Social dilemma; Context (archaeology); Social psychology; Probabilistic logic; Function (biology); Psychology; Economics; Positive economics; Microeconomics; Computer science; Artificial intelligence","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":[0.001165176,0.0001241051,0.000350509,0.0001314855,0.0003062898,0.00006078891,0.0002319307,0.0001312376,0.0001180857],"category_scores_gemma":[0.0002464731,0.0001158536,0.0001077622,0.0000704047,0.001112236,0.0002250181,0.0001140943,0.0003389416,0.00000440531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001603434,"about_ca_system_score_gemma":0.0000969083,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001747587,"about_ca_topic_score_gemma":0.00002435505,"domain_scores_codex":[0.9984499,0.0001789953,0.0005631438,0.0001171989,0.0002754033,0.0004153391],"domain_scores_gemma":[0.999312,0.000179138,0.0001772065,0.00005460963,0.00008190412,0.0001951134],"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":[0.00008908252,0.0001365233,0.02099932,0.000003201747,0.00001899696,0.00005512789,0.05668836,0.00000198033,0.00004376806,0.921719,0.00002351774,0.0002210777],"study_design_scores_gemma":[0.005204526,0.0005815504,0.0072709,0.0001399328,0.0004386184,0.00009319669,0.1018732,0.0005867462,0.001230621,0.8817006,0.0001673429,0.0007127716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9858171,0.0001670886,0.0001119004,0.0002748563,0.000213272,0.0001084258,0.00000836608,0.000007081555,0.01329189],"genre_scores_gemma":[0.9979932,0.00005334707,0.001415075,0.0001079117,0.0003958856,0.000003905077,4.409454e-7,0.00001398368,0.00001628944],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04518479,"threshold_uncertainty_score":0.4724371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09402872992152556,"score_gpt":0.353519939892713,"score_spread":0.2594912099711875,"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."}}