{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004342505,0.0001448966,0.000235345,0.00008019299,0.0001667946,0.000007876891,0.0003870075,0.0000986862,0.01940467],"category_scores_gemma":[0.0003639125,0.0001322497,0.0001115308,0.0004192813,0.001477156,0.0001449973,0.0018612,0.0004189208,0.0006831944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281122,"about_ca_system_score_gemma":0.0000116114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003683583,"about_ca_topic_score_gemma":0.0003557826,"domain_scores_codex":[0.9979475,0.000189432,0.0002924595,0.0003654186,0.0006852898,0.0005198937],"domain_scores_gemma":[0.9990335,0.0003145973,0.00008902273,0.0002925832,0.000006122676,0.0002642483],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000142405,0.000391662,0.9808724,0.00003187871,0.00001680026,0.00001448865,0.0002110378,0.000009784234,0.01107908,0.000950901,0.000621845,0.005657748],"study_design_scores_gemma":[0.000349415,0.001157867,0.9668052,0.00001012017,0.000007504125,0.000002286071,0.0001764802,0.0000401973,0.0281349,0.0004461221,0.002762014,0.0001079234],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9666283,0.0000152567,0.000003666917,0.00218115,0.00002773836,0.0004045532,0.0001817749,0.00001100561,0.03054659],"genre_scores_gemma":[0.9982744,0.001149076,0.00008920482,0.000218588,0.00005335563,0.00004840495,0.00008637904,0.00001359925,0.00006695118],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03164618,"threshold_uncertainty_score":0.9814917,"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."}}