{"id":"W6920148948","doi":"10.60692/b94r8-b2724","title":"Evolutionary dynamics on graphs: Efficient method for weak selection","year":2009,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Advancements in Semiconductor Devices and Circuit Design","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Evolutionary dynamics; Population; Graph; Evolutionary game theory; Markov chain; Markov process; Replicator equation; Degree (music)","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":[0.0001758416,0.0001602064,0.000151417,0.0002094508,0.0001146595,0.00005308029,0.00009397897,0.00008741984,0.000006803178],"category_scores_gemma":[0.000004996879,0.0001481196,0.00007043825,0.0002079639,0.000005398246,0.0002752873,0.00000357925,0.00007582638,0.00008588337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000364802,"about_ca_system_score_gemma":0.000008113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":5.496959e-7,"about_ca_topic_score_gemma":4.381828e-8,"domain_scores_codex":[0.9990945,0.00001837462,0.0003810396,0.0001072489,0.0001813143,0.0002174676],"domain_scores_gemma":[0.9995943,0.000009263302,0.00009255886,0.0001613852,0.00009276562,0.00004978105],"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":[0.00007784565,0.000007966412,0.002705579,0.0005670176,0.00008320936,4.334621e-7,0.009227054,0.9351327,0.00006601353,0.03474174,0.001154581,0.01623589],"study_design_scores_gemma":[0.000559856,0.0001033642,0.003261601,0.00008816843,0.00002212207,0.00001794382,0.002592219,0.9914919,0.0004982321,0.00003956714,0.001097459,0.0002276239],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04386286,0.000007082486,0.9477135,0.000009062001,0.0006634074,0.0005210252,0.00008909478,0.0005332193,0.006600767],"genre_scores_gemma":[0.9942715,1.825973e-7,0.005392436,0.0000828372,0.00006100282,0.00007110801,0.00004555929,0.00001180277,0.00006362084],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9504086,"threshold_uncertainty_score":0.6040143,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01995276327470839,"score_gpt":0.2287863381158458,"score_spread":0.2088335748411374,"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."}}