{"id":"W2151028156","doi":"10.1098/rsbl.2014.0213","title":"Local competition sparks concerns for fairness in the ultimatum game","year":2014,"lang":"en","type":"article","venue":"Biology Letters","topic":"Experimental Behavioral Economics Studies","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Ultimatum game; Competitor analysis; Disadvantaged; Competition (biology); Economics; Intuition; Microeconomics; Inequity aversion; Population; Biology; Inequality; Psychology; Sociology; Ecology; Economic growth","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":[0.0004798236,0.00006057887,0.0001089227,0.00002092705,0.0001545465,0.0000161158,0.0001850411,0.00005839138,0.00001455114],"category_scores_gemma":[0.00003280564,0.00004735886,0.00003700153,0.00003547975,0.000716856,0.00004248381,0.00002069878,0.00005989183,0.0000206735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008694076,"about_ca_system_score_gemma":0.00001103997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001604075,"about_ca_topic_score_gemma":0.001698398,"domain_scores_codex":[0.9993104,0.0002056389,0.0001053518,0.0001392773,0.00002993129,0.0002094191],"domain_scores_gemma":[0.9996248,0.0002328419,0.00004141787,0.00007422724,0.000009798809,0.00001687334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006958804,0.0001216713,0.1192878,0.00001068333,0.00002437415,0.000002214627,0.03160693,0.00005905683,0.02598381,0.806025,0.01130025,0.005508618],"study_design_scores_gemma":[0.004430074,0.0005927255,0.09630839,0.00006120682,0.00006105075,0.00000426118,0.06593123,0.001437191,0.005041293,0.02321647,0.801621,0.001295055],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.955114,0.0000469289,0.01268395,0.02645883,0.0006166933,0.0004075557,0.00001180601,0.00003064247,0.004629587],"genre_scores_gemma":[0.9945533,0.000007657971,0.0001504535,0.004987454,0.0001669607,0.0000990478,0.00001582924,0.000003720248,0.0000155563],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7903208,"threshold_uncertainty_score":0.2641286,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04123181294409597,"score_gpt":0.3482136346634451,"score_spread":0.3069818217193492,"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."}}