{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002843956,0.0004965741,0.0008207846,0.0007148832,0.0008785358,0.001606582,0.00177081,0.001736465,0.002880919],"category_scores_gemma":[0.01581082,0.0003913597,0.0008439766,0.0005341664,0.002766184,0.0024031,0.001981378,0.002017087,0.0002744594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001019311,"about_ca_system_score_gemma":0.00151021,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004404176,"about_ca_topic_score_gemma":0.003029481,"domain_scores_codex":[0.9989585,0.0007304695,0.00003423253,0.00007713538,0.0001195094,0.00008011568],"domain_scores_gemma":[0.9934497,0.005083106,0.0005383517,0.0003569462,0.0002104256,0.0003614207],"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":[0.00007088763,0.0001141865,0.00267209,0.00007988107,0.00004686106,0.0003376233,0.0005916242,0.4398717,0.0003659355,0.5486414,0.001131383,0.006076477],"study_design_scores_gemma":[0.00003827723,0.00001817356,0.0002067597,0.000008594061,0.000007176718,0.00004004013,0.00005344009,0.7185681,0.00005550736,0.2802794,0.0007134263,0.00001109692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4018036,0.001092162,0.5578679,0.006894755,0.0002362942,0.0001767222,0.0002650448,0.0002641888,0.03139941],"genre_scores_gemma":[0.9523594,0.0002978458,0.04327485,0.0002543209,0.00007379748,0.0001557866,0.0000507551,0.00004329584,0.003490061],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004404176,"threshold_uncertainty_score":0.01504046,"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."}}