{"id":"W2531951202","doi":"10.3732/ajb.1600154","title":"Understanding the coevolutionary dynamics of mutualism with population genomics","year":2016,"lang":"en","type":"review","venue":"American Journal of Botany","topic":"Evolutionary Game Theory and Cooperation","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Genome British Columbia; Forest Genetics Council of British Columbia; Genome Canada; National Science Foundation","keywords":"Biology; Mutualism (biology); Population genomics; Evolutionary biology; Coevolution; Population; Genomics; Evolutionary dynamics; Ecology; Genome; Genetics; Demography; Gene","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":[0.001349625,0.0001602161,0.0007364895,0.00013327,0.0003879057,0.00002486241,0.0003730957,0.00007791161,0.00004622959],"category_scores_gemma":[0.0001020152,0.00008864486,0.0002434967,0.0004772286,0.001040636,0.0002291581,0.00002327878,0.0002528281,0.00000390795],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001559801,"about_ca_system_score_gemma":0.0009354684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140762,"about_ca_topic_score_gemma":0.0002736753,"domain_scores_codex":[0.9976386,0.0009533316,0.0006493768,0.0001122294,0.0004628395,0.0001836107],"domain_scores_gemma":[0.9969724,0.0005717409,0.002016192,0.0001603876,0.0002037048,0.00007553292],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009194874,0.00004864163,0.0001302413,0.0001531893,0.0003298108,0.000009852805,0.002016315,0.00004866827,6.785759e-7,0.3581129,0.0001435374,0.6389142],"study_design_scores_gemma":[0.00053024,0.001494135,0.0003188922,0.01545807,0.001722602,0.0005902057,0.03148076,0.0000834832,1.08146e-7,0.03807218,0.909412,0.0008373728],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006691008,0.9739602,0.02228781,0.0007347735,0.0003512219,0.0003096429,0.00005064651,0.00001219373,0.001624384],"genre_scores_gemma":[0.05735273,0.9417129,0.000286005,0.00002349435,0.0004151495,0.000002656878,0.000006274365,0.00002053096,0.0001802235],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9092684,"threshold_uncertainty_score":0.4078825,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0583025407822033,"score_gpt":0.3267950280378757,"score_spread":0.2684924872556724,"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."}}