{"id":"W4315620187","doi":"10.1098/rspb.2022.1909","title":"Mutualistic coevolution and community diversity favour persistence in metacommunities under environmental changes","year":2023,"lang":"en","type":"article","venue":"Proceedings of the Royal Society B Biological Sciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Metacommunity; Coevolution; Ecology; Biology; Environmental change; Extinction (optical mineralogy); Biodiversity; Trait; Species richness; Mutualism (biology); Evolutionary biology; Biological dispersal; Climate change; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005126924,0.0002538162,0.0004070396,0.0005156794,0.0007237166,0.001154396,0.0005577062,0.0009073971,0.001629914],"category_scores_gemma":[0.004232456,0.0002470067,0.0006081657,0.0003123599,0.0009869777,0.001628113,0.001345391,0.000586974,0.0001487968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008854885,"about_ca_system_score_gemma":0.0005736776,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007478078,"about_ca_topic_score_gemma":0.009038887,"domain_scores_codex":[0.9997968,0.0000817505,0.000009126125,0.00004011633,0.00002087501,0.00005130096],"domain_scores_gemma":[0.9989177,0.0005384887,0.0002169464,0.00006992828,0.00005974624,0.0001971444],"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":[0.00035113,0.0002252652,0.1478158,0.0001578296,0.0003934788,0.0006550797,0.0008649176,0.7826287,0.02681725,0.02618378,0.0007904306,0.01311628],"study_design_scores_gemma":[0.00008465191,0.0001123605,0.03620103,0.00002043869,0.00007710798,0.0001603016,0.0003714751,0.9498657,0.0009690832,0.01156154,0.0005450555,0.00003114814],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947801,0.00005105196,0.003637659,0.0001178137,0.00000402257,0.000004159087,0.00001746335,0.00002595548,0.001361796],"genre_scores_gemma":[0.9992079,0.00002427603,0.0006037109,0.00001597475,0.000001752018,0.000004735756,0.00000779971,0.000006216324,0.0001275609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007478078,"threshold_uncertainty_score":0.01486909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1612865119096042,"score_gpt":0.2207313190818338,"score_spread":0.05944480717222964,"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."}}