{"id":"W4231554445","doi":"10.1002/cplx.20251","title":"Animal network phenomena: Insights from triadic games","year":2008,"lang":"en","type":"article","venue":"Complexity","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Eavesdropping; Victory; Variety (cybernetics); Computer science; Population; Cognitive science; Psychology; Artificial intelligence; Sociology; Computer security; Political science","routes":{"ca_aff":true,"ca_fund":true,"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":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001892731,0.00007992744,0.0001364477,0.00001947815,0.001368642,0.0000234217,0.0001923453,0.00005856039,0.001206823],"category_scores_gemma":[0.00006732196,0.00007844379,0.00004737799,0.000232654,0.000650568,0.0002296693,0.00003617532,0.0001010985,0.0002493286],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007580465,"about_ca_system_score_gemma":0.0001371218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000990267,"about_ca_topic_score_gemma":0.001641831,"domain_scores_codex":[0.9988354,0.0004154825,0.0001461505,0.0001851635,0.0002061849,0.0002116407],"domain_scores_gemma":[0.9995178,0.0001325353,0.00005025028,0.0001444759,0.00005843102,0.00009650493],"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":[0.0001433958,0.00008934749,0.003798438,0.000001162192,0.00002016102,0.000009207423,0.0137534,0.00008613924,0.0001885032,0.9727418,0.008381937,0.0007864804],"study_design_scores_gemma":[0.0006481688,0.0001160703,0.223865,0.00001485678,0.00001276221,0.000002124914,0.001562972,0.0007881696,0.00003825027,0.5309577,0.2416777,0.0003162775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9091972,0.0009165672,0.0006147755,0.0005192984,0.0003100925,0.0001371748,0.000007585568,0.0001334419,0.08816387],"genre_scores_gemma":[0.9958909,0.00009786201,0.0004729721,0.0002745647,0.002031996,0.000008398538,0.00003180189,0.00000530429,0.001186193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4417841,"threshold_uncertainty_score":0.9999315,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08965341972522903,"score_gpt":0.2962601595224425,"score_spread":0.2066067397972135,"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."}}