{"id":"W2159481668","doi":"10.1098/rsif.2009.0448","title":"Next-generation tools for evolutionary invasion analyses","year":2009,"lang":"en","type":"review","venue":"Journal of The Royal Society Interface","topic":"Evolution and Genetic Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":147,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Queen's University","keywords":"Evolutionarily stable strategy; Evolutionary dynamics; Evolutionary algorithm; Stability (learning theory); Computer science; Artificial intelligence; Machine learning; Mathematics; Mathematical economics; Game theory; Population","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":[],"consensus_categories":[],"category_scores_codex":[0.0003330264,0.0002420745,0.000549348,0.00002173966,0.0001395746,0.00007719165,0.0005128239,0.0003859686,0.0000139634],"category_scores_gemma":[0.0002241905,0.0001526518,0.002052201,0.0000898838,0.00005503781,0.000007751137,0.0001186866,0.0002828093,0.000004395637],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001319736,"about_ca_system_score_gemma":0.0003642134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001406234,"about_ca_topic_score_gemma":0.000002212751,"domain_scores_codex":[0.9986595,0.0001402646,0.0006369926,0.0001927188,0.0002015225,0.0001689993],"domain_scores_gemma":[0.9985222,0.00004017818,0.0008324573,0.0002881174,0.0002542373,0.0000628561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004126848,0.0001672139,0.000002066118,0.001250014,0.001169652,5.258435e-7,0.00004884682,0.0382673,0.003855345,0.00001806981,0.5446514,0.4105283],"study_design_scores_gemma":[0.0002060769,0.0002976514,0.000004667813,0.0009392977,0.0006241063,0.00004645981,0.00004122943,0.006500864,0.0003589869,0.00002649773,0.9907662,0.0001880025],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001052582,0.9331994,0.06559055,0.0001399451,0.000568603,0.000288011,0.00003751591,0.000002849833,0.00006785901],"genre_scores_gemma":[0.0005910806,0.9909201,0.003798539,0.0001962523,0.001206953,0.000007197496,0.0000901094,0.00002542303,0.003164325],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.4461147,"threshold_uncertainty_score":0.622496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1196389764410699,"score_gpt":0.3801793000227068,"score_spread":0.2605403235816369,"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."}}