{"id":"W4411696840","doi":"10.1111/ele.70164","title":"Dynamic Environmental Niches of Marine Invasive Species Over 200 Years","year":2025,"lang":"en","type":"article","venue":"Ecology Letters","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Science Foundation for Young Scientists of Shanxi Province; National Natural Science Foundation of China","keywords":"Niche; Ecological niche; Ecology; Environmental niche modelling; Niche segregation; Ecosystem; Invasive species; Biology; Macroecology; Introduced species; Geography; Biodiversity; Habitat","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":[0.0005090592,0.0001062161,0.0001918221,0.001177351,0.0002601969,0.0005393799,0.000254863,0.0002412378,0.0009411859],"category_scores_gemma":[0.001419403,0.0001127323,0.0002334684,0.0007692955,0.0003066401,0.0005979645,0.0006785041,0.0002087276,0.0001441287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003341849,"about_ca_system_score_gemma":0.0001008786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00415016,"about_ca_topic_score_gemma":0.008961931,"domain_scores_codex":[0.9998735,0.00002135946,0.000009369925,0.00005388724,0.00001824875,0.00002357999],"domain_scores_gemma":[0.9992961,0.0002038147,0.0002807458,0.0000505054,0.00006918844,0.00009962053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001172696,0.00002080905,0.9844987,0.00002758642,0.0001390608,0.00009607813,0.0006430919,0.002033774,0.004478048,0.0003887758,0.0001812164,0.007375614],"study_design_scores_gemma":[0.000001653017,0.00002664744,0.9959508,0.000006123524,0.00001916947,0.0001516889,0.0003554631,0.002526107,0.0001942087,0.0002109719,0.0005484482,0.000008793806],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992445,0.0001107594,0.0001431395,0.00001018962,8.06573e-7,6.568627e-7,0.0002346878,0.000005241285,0.000250029],"genre_scores_gemma":[0.9995356,0.0000288101,0.0000911252,0.000004257079,0.000001143738,0.000002212452,0.0002577534,0.000002270269,0.00007690309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00415016,"threshold_uncertainty_score":0.008251965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002590343804125617,"score_gpt":0.1878944067089569,"score_spread":0.1853040629048313,"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."}}