{"id":"W1857847983","doi":"10.1111/jbi.12544","title":"Consideration of dispersal processes and northern refugia can improve our understanding of past plant migration rates in North America","year":2015,"lang":"en","type":"article","venue":"Journal of Biogeography","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Eidgenössische Technische Hochschule Zürich; Canadian Institute for Advanced Research","keywords":"Biological dispersal; Refugium (fishkeeping); Ecology; Colonization; Vegetation (pathology); Temperate climate; Geography; Seed dispersal; Climate change; Pollen; Population; Boreal; Biology; Habitat; Demography","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":[0.0005047873,0.0002992392,0.0003248469,0.0003543603,0.0003208251,0.0005937466,0.0004049692,0.0003934527,0.001046775],"category_scores_gemma":[0.001377431,0.0002370849,0.0004200167,0.0003238194,0.0003525043,0.001012951,0.0004271729,0.0003346003,0.00006627784],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000641808,"about_ca_system_score_gemma":0.0003895634,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02957587,"about_ca_topic_score_gemma":0.03863369,"domain_scores_codex":[0.9999124,0.00003511924,0.000004938378,0.00003289794,0.000005822068,0.000008917374],"domain_scores_gemma":[0.9995165,0.000199034,0.0001392916,0.00004848742,0.00004142897,0.00005524451],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00009256283,0.00009750828,0.2972119,0.0000983124,0.00015837,0.0001574327,0.0004596901,0.6751343,0.005914001,0.004246691,0.0005239173,0.01590531],"study_design_scores_gemma":[0.00002965028,0.00007453006,0.1380306,0.00002312436,0.00004236167,0.00007042487,0.0002629645,0.8550605,0.0003022996,0.005098388,0.0009712902,0.00003398964],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9898605,0.0002395178,0.008244541,0.000168592,0.000006169934,0.00000579184,0.00009574303,0.00006783755,0.001311389],"genre_scores_gemma":[0.9974692,0.00009203042,0.002220322,0.00002415266,0.00000424208,0.000006039541,0.00005342678,0.00001142045,0.0001191064],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9704241,"threshold_uncertainty_score":0.05880749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01665360677230876,"score_gpt":0.2314276786510154,"score_spread":0.2147740718787067,"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."}}