{"id":"W4415457120","doi":"10.3389/ffgc.2025.1659630","title":"Modelling the potential distribution and niche shift of Solenopsis invicta Buren under climate change and invasion process","year":2025,"lang":"en","type":"article","venue":"Frontiers in Forests and Global Change","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Natural Resources","keywords":"Niche; Climate change; Habitat; Ecological niche; Distribution (mathematics); Range (aeronautics); Environmental niche modelling; China","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003757476,0.0004700948,0.0003103157,0.0005737189,0.0004123205,0.0007777587,0.0009416828,0.0009298588,0.001772675],"category_scores_gemma":[0.0006159648,0.0003265214,0.001064925,0.0004696124,0.0004104586,0.0005839321,0.0006412838,0.0004601006,0.0001507772],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001086203,"about_ca_system_score_gemma":0.0008887085,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04671316,"about_ca_topic_score_gemma":0.02878735,"domain_scores_codex":[0.9999,0.00002084375,0.000005527331,0.00003131381,0.00001176528,0.00003061673],"domain_scores_gemma":[0.9997323,0.0001317697,0.00004602073,0.00001124912,0.00003164368,0.00004698017],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000580478,0.00004943118,0.02520349,0.00004656321,0.00002962551,0.0001982905,0.00005134102,0.9698502,0.001493241,0.0009638185,0.0002878088,0.001768156],"study_design_scores_gemma":[0.000009091708,0.0000134771,0.004306801,0.000003475607,0.000009542006,0.00002515175,0.00003593444,0.9950047,0.00009579291,0.0003055797,0.0001820788,0.000008412987],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9861888,0.0001638301,0.009506037,0.0002257624,0.00002592114,0.00002150304,0.0006399697,0.0001037897,0.003124311],"genre_scores_gemma":[0.9971956,0.00007386361,0.001513272,0.00001984301,0.000007375404,0.00001860509,0.000288925,0.00001285131,0.0008696888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04671316,"threshold_uncertainty_score":0.09288257,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02838370159635857,"score_gpt":0.2524545958334848,"score_spread":0.2240708942371262,"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."}}