{"id":"W2169615754","doi":"10.4319/lo.2013.58.4.1361","title":"Taxon‐ and vector‐specific variation in species richness and abundance during the transport stage of biological invasions","year":2013,"lang":"en","type":"article","venue":"Limnology and Oceanography","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; Memorial University of Newfoundland; University of British Columbia; University of New Brunswick; Fisheries and Oceans Canada; Mount Allison University; Bedford Institute of Oceanography; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Species richness; Propagule pressure; Abundance (ecology); Biology; Ecology; Taxon; Invertebrate; Propagule; Relative species abundance; Ballast; Biological dispersal; 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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001305193,0.000102438,0.0001588414,0.00007383006,0.0001841165,0.000008921386,0.00009382447,0.0001223723,0.001009104],"category_scores_gemma":[0.00001911172,0.0000689422,0.00002309882,0.0002204395,0.001378184,0.0001558655,0.0001003837,0.0001560861,0.000004450593],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006152021,"about_ca_system_score_gemma":0.000002077102,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006004532,"about_ca_topic_score_gemma":0.000255543,"domain_scores_codex":[0.9992958,0.00006853973,0.0001746936,0.0002370157,0.00004865408,0.0001753195],"domain_scores_gemma":[0.9996486,0.0001334269,0.00006418399,0.000113559,0.000006156882,0.00003410576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001815636,0.00003342773,0.9888762,0.00001172122,0.000008532871,0.000002610075,0.0004928606,0.000004390767,0.007332101,0.003078392,0.00003436465,0.0001072627],"study_design_scores_gemma":[0.0002592823,0.00008410213,0.9958974,0.000004655848,0.000003586784,0.000008630647,0.000369835,0.000009306275,0.0004108106,0.001234419,0.001637449,0.00008056802],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972637,0.0003809874,0.00002730609,0.0005086546,0.00005368945,0.0002037914,0.000006392429,0.00001213436,0.001543358],"genre_scores_gemma":[0.9971058,0.002361791,0.0001303824,0.00008034788,0.00001156328,0.00001797115,0.000001977567,0.000002942173,0.0002871582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007021175,"threshold_uncertainty_score":0.9999041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01776207092449519,"score_gpt":0.1833309300289722,"score_spread":0.165568859104477,"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."}}