{"id":"W2948215835","doi":"10.1002/ecy.2738","title":"Cryptic dispersal networks shape biodiversity in an invaded landscape","year":2019,"lang":"en","type":"article","venue":"Ecology","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Killam Trusts","keywords":"Biological dispersal; Ecology; Habitat; Landscape connectivity; Species richness; Seed dispersal; Biology; Biodiversity; Mode (computer interface); Geography; Population; Computer science","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":[0.0002645847,0.0001742603,0.0002541552,0.001623709,0.0003854726,0.001063279,0.0002536792,0.0003043175,0.001442005],"category_scores_gemma":[0.001599802,0.0002396302,0.0002083963,0.0006671927,0.0008492444,0.0007392791,0.0007836788,0.0003556779,0.0001486427],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004042369,"about_ca_system_score_gemma":0.0001018228,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002573136,"about_ca_topic_score_gemma":0.007288978,"domain_scores_codex":[0.9998376,0.00004926643,0.0000116295,0.00005639785,0.00001894154,0.00002605214],"domain_scores_gemma":[0.9989054,0.0002890709,0.0004698225,0.0001023591,0.0000833468,0.0001499633],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004702635,0.0001037016,0.9167833,0.0001757308,0.0002766316,0.0008916734,0.003414819,0.0110985,0.04705282,0.003860427,0.0004096942,0.0154623],"study_design_scores_gemma":[0.00001148721,0.00005662326,0.9905815,0.00001208913,0.0000347278,0.0003359044,0.000703663,0.006059918,0.0002518283,0.001498384,0.000440123,0.00001376338],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988375,0.00004172853,0.0003386821,0.00001937515,7.218278e-7,0.00000167468,0.00003585883,0.00001258438,0.0007118545],"genre_scores_gemma":[0.9996092,0.00002260337,0.0002524684,0.000005120871,9.088133e-7,0.000001452131,0.00003626038,0.000002975684,0.00006900265],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002573136,"threshold_uncertainty_score":0.005116284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007662285166237575,"score_gpt":0.2058592825867101,"score_spread":0.1981969974204725,"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."}}