{"id":"W1981366504","doi":"10.1111/ddi.12215","title":"Spatial distribution of marine invasive species: environmental, demographic and vector drivers","year":2014,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada; Royal British Columbia Museum; University of British Columbia","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada; North Pacific Marine Science Organization","keywords":"Spatial analysis; Geography; Spatial distribution; Population; Ecology; Marine spatial planning; Distribution (mathematics); Biodiversity; Spatial ecology; Marine ecosystem; Species distribution; Fishery; Ecosystem; Habitat; Biology","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":[0.0006725069,0.0001880477,0.0001756318,0.001017481,0.000400589,0.0007275524,0.0004411181,0.0001607474,0.001868912],"category_scores_gemma":[0.002369393,0.0001567608,0.000303156,0.001305747,0.0004617773,0.0003515798,0.0005899416,0.0002708761,0.0001327143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008201469,"about_ca_system_score_gemma":0.00087158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1934203,"about_ca_topic_score_gemma":0.2839393,"domain_scores_codex":[0.9996015,0.0001007743,0.0000412441,0.0001226201,0.00007373396,0.00006014778],"domain_scores_gemma":[0.9975204,0.0005605571,0.000947509,0.0001550822,0.000592932,0.0002234939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001055296,0.000005450459,0.997934,0.000009433891,0.00003370554,0.00001821512,0.00009857809,0.0002171753,0.0001341968,0.0000602181,0.00006033934,0.001418214],"study_design_scores_gemma":[8.057391e-7,0.000007264354,0.9978668,0.000008364617,0.00001689435,0.0000482615,0.0004473313,0.001365718,0.00002903933,0.00006601618,0.0001403067,0.000003202398],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983039,0.0001438181,0.0003325151,0.00006542542,0.000002203929,0.000008284341,0.0005773754,0.000007207355,0.000559216],"genre_scores_gemma":[0.999373,0.00007513606,0.0001791224,0.000004236333,0.000002495447,0.000004244032,0.0002387981,0.00000157133,0.0001214289],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1934203,"threshold_uncertainty_score":0.3845888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007588483944054718,"score_gpt":0.1660712889747614,"score_spread":0.1584828050307067,"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."}}