{"id":"W4415295584","doi":"10.1007/s11258-025-01569-z","title":"Invasive Prosopis associated with large, but idiosyncratic, ecosystem changes and loss of native biodiversity across India","year":2025,"lang":"en","type":"article","venue":"Plant Ecology","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"The Scarborough Hospital","funders":"Department of Biotechnology, Ministry of Science and Technology, India","keywords":"Biodiversity; Species richness; Ecosystem; Prosopis; Biome; Invasive species; Vegetation (pathology); Plant ecology; Understory","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":[0.0001811433,0.0001468474,0.0001433585,0.0006965041,0.0006240981,0.0006285408,0.0002667636,0.0001894929,0.0009152513],"category_scores_gemma":[0.0003914904,0.000105261,0.0001362757,0.0008074255,0.0007180807,0.0002738733,0.0009461025,0.0003914234,0.0000750384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003841486,"about_ca_system_score_gemma":0.0003019325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008428059,"about_ca_topic_score_gemma":0.02778747,"domain_scores_codex":[0.9997935,0.00003647616,0.00001143647,0.00005285339,0.00003147454,0.00007433327],"domain_scores_gemma":[0.9994974,0.00007635952,0.0002399467,0.00004918485,0.00005735099,0.0000797947],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002428255,0.0000486575,0.9725394,0.00005323776,0.00007897116,0.001510622,0.002960681,0.0002611396,0.01472809,0.0003498162,0.0001614463,0.007065138],"study_design_scores_gemma":[4.254209e-7,0.00001383842,0.9977883,0.000002358693,0.000005919695,0.0003910063,0.001461812,0.00004538652,0.0001256417,0.000028291,0.0001347065,0.000002158126],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994236,0.0000218861,0.00003005834,0.00001378119,0.000001121843,0.000001883132,0.00002668388,0.00000196177,0.0004790998],"genre_scores_gemma":[0.999747,0.0000258714,0.00002880083,0.000006454022,8.576221e-7,0.000001886699,0.00003333368,6.269042e-7,0.000155255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008428059,"threshold_uncertainty_score":0.01675802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0125518073293445,"score_gpt":0.1980250896645574,"score_spread":0.1854732823352129,"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."}}