{"id":"W3020217650","doi":"10.1016/j.marenvres.2020.104993","title":"Impacts of climate change on geographical distributions of invasive ascidians","year":2020,"lang":"en","type":"article","venue":"Marine Environmental Research","topic":"Marine Ecology and Invasive Species","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China; AstraZeneca Schweiz; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Society for the Study of Theology; Natural Sciences and Engineering Research Council of Canada; Johns Hopkins University","keywords":"Climate change; Invasive species; Habitat; Mediterranean climate; Mediterranean sea; Shore; Ecology; Ecosystem; Marine ecosystem; Marine protected area; Global warming; Introduced species; Effects of global warming on oceans; Species distribution; Distribution (mathematics); Biodiversity; Geography; Biology; Fishery","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":[0.0003697496,0.0001905728,0.0001762388,0.0007733919,0.0003447756,0.0007162798,0.0002411203,0.0003337754,0.002562332],"category_scores_gemma":[0.001770189,0.00007631519,0.0003435691,0.001046039,0.0005165231,0.000485179,0.0007077607,0.0002843262,0.0001693925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006379213,"about_ca_system_score_gemma":0.0002563127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01775574,"about_ca_topic_score_gemma":0.02245213,"domain_scores_codex":[0.9997544,0.0000745919,0.00001906729,0.00005458504,0.00003369901,0.00006369798],"domain_scores_gemma":[0.9988075,0.0002654727,0.0004160035,0.00007651537,0.000237706,0.00019683],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005180071,0.00004346214,0.9775794,0.00004471861,0.0001603599,0.0003584136,0.0004207013,0.004640438,0.007300085,0.0005860756,0.0004494232,0.007898964],"study_design_scores_gemma":[0.0000046107,0.0000246512,0.9983215,0.000002910021,0.00001896025,0.00004726979,0.0003010423,0.0007387747,0.00009873917,0.0001287638,0.0003085568,0.000004121271],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997945,0.0001536154,0.00005756288,0.0001444719,0.000006464477,0.00000165692,0.0002695112,0.000004974097,0.00141688],"genre_scores_gemma":[0.999697,0.00008543678,0.00002209438,0.00001548807,0.000004343487,9.479201e-7,0.0000898755,0.000001260746,0.00008361777],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01775574,"threshold_uncertainty_score":0.03530478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04867068238783853,"score_gpt":0.2954828106332558,"score_spread":0.2468121282454173,"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."}}