{"id":"W2086723411","doi":"10.1016/j.geb.2011.07.005","title":"Dynamic coordination with individual learning","year":2011,"lang":"en","type":"article","venue":"Games and Economic Behavior","topic":"Game Theory and Applications","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Coordination game; Computer science; Economics; Microeconomics","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":[0.002282585,0.0006507579,0.001317891,0.0005046002,0.0005498438,0.002198203,0.00133172,0.001700791,0.007440938],"category_scores_gemma":[0.0110361,0.0004814654,0.0006792908,0.0006382589,0.002318568,0.002874677,0.002019637,0.001526982,0.000637615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001270285,"about_ca_system_score_gemma":0.001066081,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001265834,"about_ca_topic_score_gemma":0.0009321603,"domain_scores_codex":[0.9982534,0.0008819301,0.00006348267,0.0003627835,0.0002302667,0.0002081654],"domain_scores_gemma":[0.9934732,0.004773342,0.0005426095,0.0004940747,0.0002649236,0.0004517888],"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":[0.0001045157,0.0000921793,0.0006382593,0.00006518706,0.0000584231,0.0001309453,0.0001780407,0.2257163,0.0006116476,0.7535851,0.002115495,0.01670386],"study_design_scores_gemma":[0.00004370372,0.00004714794,0.0002798445,0.00001014431,0.00001549092,0.00004017994,0.00005910486,0.3216525,0.0001604623,0.6761566,0.001520858,0.00001405681],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1495659,0.0005622284,0.7753756,0.003573531,0.0002444549,0.0001197363,0.0001672335,0.0002219818,0.07016936],"genre_scores_gemma":[0.9617335,0.000249166,0.0210676,0.0001689982,0.00009054298,0.0001445138,0.00004660717,0.00003537166,0.01646375],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007440938,"threshold_uncertainty_score":0.02489239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09279793172436003,"score_gpt":0.3256794959273052,"score_spread":0.2328815642029452,"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."}}