{"id":"W2146235510","doi":"10.1111/j.1461-0248.2010.01523.x","title":"Metacommunity phylogenetics: separating the roles of environmental filters and historical biogeography","year":2010,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":237,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Metacommunity; Ecology; Biogeography; Biology; Adaptation (eye); Community structure; Zooplankton; Phylogenetic tree; Biological dispersal","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":[0.0002666905,0.00009746625,0.0001403768,0.00002277982,0.0001681317,0.000006906925,0.0002225317,0.00006358925,0.000441661],"category_scores_gemma":[0.00001310564,0.0000720774,0.00005481283,0.00005333614,0.0004025657,0.0000349623,0.000160742,0.0002270077,0.000022898],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004838419,"about_ca_system_score_gemma":0.000001976833,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001645155,"about_ca_topic_score_gemma":0.003476149,"domain_scores_codex":[0.9993157,0.0001032971,0.0001823465,0.0001420504,0.0000954662,0.0001610973],"domain_scores_gemma":[0.9994022,0.000186738,0.0001151247,0.0002507907,8.497133e-7,0.00004433978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000003554919,0.00003740542,0.8533272,0.000002679187,0.00002695435,0.000001595918,0.0004237914,0.0001145996,0.1442349,0.00003301127,0.00089357,0.0009007461],"study_design_scores_gemma":[0.0001917817,0.00007568867,0.9884862,0.000001563807,0.00004130543,0.0000214404,0.0001379855,0.00211103,0.0007487945,0.0001038117,0.007942051,0.0001384036],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980837,0.0000323029,0.00004535074,0.001110738,0.0002227083,0.000117499,0.0000151936,0.000007257795,0.0003653253],"genre_scores_gemma":[0.9981011,0.00001030296,0.00113331,0.0006888779,0.0000250452,0.000008680618,0.000003354946,0.000006500241,0.00002287429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1434861,"threshold_uncertainty_score":0.4835878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005332322442983557,"score_gpt":0.183887738092088,"score_spread":0.1785554156491044,"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."}}