{"id":"W2944669719","doi":"10.1007/s11160-019-09562-2","title":"A global review and meta-analysis of applications of the freshwater Fish Invasiveness Screening Kit","year":2019,"lang":"en","type":"review","venue":"Reviews in Fish Biology and Fisheries","topic":"Fish Ecology and Management Studies","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"Fundação para a Ciência e a Tecnologia; Comisión Nacional para el Conocimiento y Uso de la Biodiversidad, Gobierno de México; Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja; Hrvatska Zaklada za Znanost; Magyar Tudományos Akadémia; National Research Foundation; Centre for Environment, Fisheries and Aquaculture Science; Centro de Ciências do Mar e do Ambiente; Sveučilište u Zagrebu","keywords":"Biology; Micropterus; Gambusia; Bighead carp; Fishery; Perciformes; Neogobius; Lepomis; Common carp; Silver carp; Hypophthalmichthys; Freshwater fish; Introduced species; Ecology; Zoology; Invasive species; Bass (fish); Cyprinus","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0149302,0.001583386,0.004074673,0.01241146,0.0002553071,0.002369436,0.001667144,0.001031483,0.003349264],"category_scores_gemma":[0.04380644,0.0007205413,0.01283417,0.01495341,0.0005764128,0.001319863,0.001417779,0.001144242,0.0004107939],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001430802,"about_ca_system_score_gemma":0.005016238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005523322,"about_ca_topic_score_gemma":0.0114237,"domain_scores_codex":[0.9931416,0.002964157,0.001924712,0.0008343527,0.0009520955,0.0001831726],"domain_scores_gemma":[0.958143,0.03307109,0.004209378,0.001535733,0.00266253,0.0003783258],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.001044664,0.00004615259,0.01873148,0.5398354,0.153471,0.0003281824,0.0003924636,0.00163866,0.0009582708,0.001031936,0.01235591,0.270166],"study_design_scores_gemma":[0.0002946832,0.0004715694,0.05949462,0.2267906,0.6074433,0.000858499,0.0003528907,0.000871874,0.0008913837,0.002363922,0.1000127,0.0001539436],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.002808114,0.9925811,0.001086153,0.0007272803,0.0001819984,0.00005882238,0.001972766,0.00003621751,0.0005474294],"genre_scores_gemma":[0.0545065,0.9388229,0.002684082,0.000876812,0.0002660846,0.0001870744,0.002393077,0.00005256614,0.0002108917],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.0149302,"threshold_uncertainty_score":0.07895941,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09574501395993547,"score_gpt":0.3309167754800636,"score_spread":0.2351717615201281,"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."}}