{"id":"W2006333544","doi":"10.1371/journal.pone.0073863","title":"Who Cries Wolf, and When? Manipulation of Perceived Threats to Preserve Rank in Cooperative Groups","year":2013,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"U.S. Department of Defense; National Science Foundation","keywords":"Situational ethics; Ingroups and outgroups; Privilege (computing); Social psychology; Order (exchange); Competition (biology); Rank (graph theory); Position (finance); Group (periodic table); Perception; Attractiveness; Ranking (information retrieval); Social group; Psychology; Computer security; Computer science; Business","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":[0.001565807,0.0002231796,0.0002007724,0.0002358426,0.0004310182,0.0008560626,0.0002853051,0.0003818657,0.002017303],"category_scores_gemma":[0.009321551,0.0001641795,0.0001340985,0.0001306817,0.0007193527,0.0005783805,0.0005724524,0.0006172209,0.0001528453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002650511,"about_ca_system_score_gemma":0.0002450854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006899064,"about_ca_topic_score_gemma":0.001035116,"domain_scores_codex":[0.9991689,0.0005057037,0.00003721037,0.0001215023,0.0001062513,0.00006056312],"domain_scores_gemma":[0.9947577,0.002844348,0.001299437,0.0004382902,0.0001702733,0.0004899212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01377591,0.01018383,0.2064749,0.001302569,0.0005589566,0.0008188987,0.04642948,0.00147737,0.5435125,0.01633196,0.002535254,0.1565983],"study_design_scores_gemma":[0.001393613,0.02184144,0.7971778,0.000373625,0.0007736405,0.0008933711,0.03360374,0.01737775,0.0825991,0.02700349,0.01668103,0.000281501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975086,0.00003713547,0.0005868411,0.0001012591,0.000008287173,0.00001469075,0.000007124409,0.000005141856,0.001730772],"genre_scores_gemma":[0.9981989,0.00003910665,0.001084491,0.00007631284,0.000003733503,0.00005190057,0.000007792844,0.000005095128,0.0005327595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002017303,"threshold_uncertainty_score":0.008280933,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06044045650013243,"score_gpt":0.2763880220045848,"score_spread":0.2159475655044524,"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."}}