{"id":"W2768902011","doi":"10.1111/ddi.12681","title":"The rich get richer: Invasion risk across North America from the aquarium pathway under climate change","year":2017,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey","keywords":"Propagule pressure; Climate change; Climate change scenario; Geography; Ecology; Risk assessment; Environmental science; Environmental resource management; Fishery; Biology; Biological dispersal; Economics; Demography; Population","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":[0.0006869416,0.0004988541,0.0002637941,0.0007034212,0.000412657,0.001339711,0.0006645303,0.0005306402,0.002546868],"category_scores_gemma":[0.001704597,0.0002289861,0.0008210005,0.0006216434,0.0004293545,0.000708035,0.0008460266,0.0006638071,0.0001389981],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003805009,"about_ca_system_score_gemma":0.001815157,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5400333,"about_ca_topic_score_gemma":0.571215,"domain_scores_codex":[0.9997758,0.00006582226,0.000009206741,0.00006279426,0.00003558119,0.00005069583],"domain_scores_gemma":[0.9991041,0.0002389286,0.0002959787,0.00004602586,0.0001806919,0.0001342788],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001588803,0.00006184725,0.5489605,0.00004776351,0.0003398026,0.0003232336,0.0002994307,0.4364569,0.001355265,0.001925344,0.002213033,0.007858015],"study_design_scores_gemma":[0.00001712076,0.00007217822,0.4002472,0.00004103752,0.0001189957,0.0001034986,0.0007390714,0.5937786,0.0003911414,0.002395676,0.002020309,0.00007509915],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932014,0.0001612737,0.00250585,0.0005333638,0.00001621454,0.00001888892,0.001027817,0.00005304696,0.002482061],"genre_scores_gemma":[0.9982351,0.00007681843,0.0005543246,0.00004209149,0.000004420514,0.000007996613,0.0004146927,0.000008389542,0.0006561019],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4599667,"threshold_uncertainty_score":0.925351,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02932759015989334,"score_gpt":0.2294004111239523,"score_spread":0.200072820964059,"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."}}