{"id":"W4412009074","doi":"10.1111/ddi.70041","title":"Climate Change Can Exacerbate Ant Invasion Impacts by Unleashing Indoor Populations Into Outdoor Environments","year":2025,"lang":"en","type":"article","venue":"Diversity and Distributions","topic":"Insect and Arachnid Ecology and Behavior","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto Scarborough; Natural Sciences and Engineering Research Council of Canada; Environmental Restoration and Conservation Agency","keywords":"Linepithema; Naturalisation; Argentine ant; Climate change; Ecology; Introduced species; Taxon; Global warming; Invasive species; Geography; Biology","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":[0.0005422873,0.000437392,0.0002582579,0.0004912396,0.0003557072,0.0009960183,0.0003224202,0.0004587939,0.00308778],"category_scores_gemma":[0.001274296,0.0002201915,0.0008952799,0.0005870857,0.0004306283,0.0006454561,0.0008841931,0.000480024,0.0002812457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000692847,"about_ca_system_score_gemma":0.0003865847,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01498563,"about_ca_topic_score_gemma":0.02261619,"domain_scores_codex":[0.9997243,0.00008662649,0.00001966187,0.00007004637,0.00003506678,0.00006423399],"domain_scores_gemma":[0.9992625,0.0001952701,0.0002484548,0.00007254779,0.0001173721,0.0001038811],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003841279,0.0001461086,0.7842472,0.0003397163,0.0004110773,0.0004903353,0.0004464277,0.1788957,0.007269588,0.002286581,0.002813345,0.0222697],"study_design_scores_gemma":[0.00004488986,0.0002886453,0.8511958,0.0000991683,0.0001867068,0.0002916403,0.0014072,0.1333373,0.001458969,0.003211726,0.008405652,0.0000722811],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9881358,0.0005994972,0.004474731,0.0002756492,0.00005295084,0.00002402892,0.001076246,0.0001375887,0.00522349],"genre_scores_gemma":[0.9985526,0.0002259257,0.0006841343,0.00002847566,0.00001062789,0.00001071435,0.0002950456,0.00001023848,0.0001822902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01498563,"threshold_uncertainty_score":0.02979678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02345161210636345,"score_gpt":0.2555366892247423,"score_spread":0.2320850771183789,"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."}}