{"id":"W3092861105","doi":"10.1002/ecy.3224","title":"Freshwater zooplankton metapopulations and metacommunities respond differently to environmental and spatial variation","year":2020,"lang":"en","type":"article","venue":"Ecology","topic":"Genetic diversity and population structure","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Metacommunity; Metapopulation; Ecology; Biodiversity; Biology; Spatial ecology; Population; Biological dispersal","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0002606373,0.0001223273,0.0001768802,0.000529449,0.0003397627,0.0004447419,0.0002196801,0.0001369833,0.000415744],"category_scores_gemma":[0.0007206728,0.0001366884,0.0001819907,0.0004274281,0.0004916429,0.000252454,0.0003524483,0.0001375712,0.00003980568],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009780173,"about_ca_system_score_gemma":0.0005215426,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1075806,"about_ca_topic_score_gemma":0.2853529,"domain_scores_codex":[0.9998226,0.00003191199,0.000008982332,0.00005602743,0.00003487708,0.00004567403],"domain_scores_gemma":[0.999667,0.00005600878,0.0001139206,0.00002976624,0.00007453347,0.00005879216],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001035859,0.00001834498,0.9325314,0.00003838417,0.0002753673,0.00004686584,0.0007007327,0.002052871,0.05046314,0.0003098053,0.0000796619,0.01337992],"study_design_scores_gemma":[0.000001243652,0.00001212911,0.9989497,0.000001556647,0.0000114963,0.00001304437,0.0001631635,0.0004520416,0.0002407325,0.00007304527,0.00007928762,0.000002536833],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994993,0.00005199148,0.0002007926,0.00000874813,4.027276e-7,0.000001342082,0.00003041923,0.000003714599,0.0002033038],"genre_scores_gemma":[0.999639,0.00003365646,0.0001830798,0.000008674653,4.48353e-7,0.000001313523,0.00004869166,0.000001044808,0.00008399808],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1075806,"threshold_uncertainty_score":0.2139089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01340862086373003,"score_gpt":0.2085396334341652,"score_spread":0.1951310125704351,"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."}}