{"id":"W4394724573","doi":"10.1038/s41467-024-47380-8","title":"Dynamics of collective cooperation under personalised strategy updates","year":2024,"lang":"en","type":"article","venue":"Nature Communications","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"National Institute of Allergy and Infectious Diseases; National Heart, Lung, and Blood Institute; National Key Research and Development Program of China; National Institute on Aging; Eunice Kennedy Shriver National Institute of Child Health and Human Development; Beijing Nova Program; National Institutes of Health; National Natural Science Foundation of China","keywords":"Computer science; Homogeneous; Property (philosophy); Population; Heterogeneous network; Variety (cybernetics); Distributed computing; Data science; Management science; Artificial intelligence; Statistical physics; Economics","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":[0.0009863935,0.0002227816,0.0004223684,0.0004697331,0.0005044424,0.001063727,0.0007107689,0.0008489811,0.002327299],"category_scores_gemma":[0.008636054,0.0002287109,0.0003306265,0.0002538559,0.001290324,0.001750718,0.001102499,0.0007451487,0.0002430221],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007086911,"about_ca_system_score_gemma":0.0003769912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002097283,"about_ca_topic_score_gemma":0.001193215,"domain_scores_codex":[0.9996166,0.0001368947,0.00001322431,0.00008707259,0.00007742152,0.00006872039],"domain_scores_gemma":[0.9978099,0.001165685,0.000426823,0.0002241542,0.0001586133,0.0002148991],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002287398,0.00007791274,0.008488004,0.00009399522,0.0000908898,0.0007317197,0.001506229,0.5879391,0.02114745,0.3479955,0.002721508,0.02897891],"study_design_scores_gemma":[0.00002673029,0.0000552173,0.00329951,0.00001420388,0.00001687497,0.0001495815,0.0002064035,0.9161969,0.0007440976,0.07824225,0.001023212,0.00002514363],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8308358,0.0002420326,0.1538058,0.0009325279,0.00004011793,0.00004298964,0.000107593,0.0002036249,0.01378939],"genre_scores_gemma":[0.9950628,0.00006029445,0.003527558,0.00004044043,0.000009035258,0.00002514655,0.00001665303,0.00001051723,0.001247569],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002327299,"threshold_uncertainty_score":0.007785559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02626268961602337,"score_gpt":0.3490753171151401,"score_spread":0.3228126274991167,"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."}}