{"id":"W4413371806","doi":"10.3390/agronomy15081998","title":"Establishing Native Plant Communities to Improve the Management of the Invasive Weed Mikania micrantha","year":2025,"lang":"en","type":"article","venue":"Agronomy","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity Western University; Western University","funders":"National Key Research and Development Program of China; Yunnan University; National Natural Science Foundation of China","keywords":"Mikania micrantha; Weed; Invasive species; Weed control; Native plant; Biology; Introduced species; Botany; Agroforestry; Agronomy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002381027,0.0001281232,0.0001685816,0.000009373851,0.0003541785,0.00008019093,0.001002781,0.00005148295,0.00009927776],"category_scores_gemma":[0.00005004209,0.00003209656,0.0001137556,0.0002980648,0.0002198351,0.00007649879,0.0005984295,0.0001571857,0.000008410768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003700869,"about_ca_system_score_gemma":0.000009804924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001763001,"about_ca_topic_score_gemma":0.004504112,"domain_scores_codex":[0.9991762,0.0001530488,0.0002025697,0.0001482382,0.0001150157,0.0002049155],"domain_scores_gemma":[0.9986338,0.001018659,0.0001038914,0.0001334221,0.00008318542,0.00002704641],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005621922,0.0003934611,0.02673487,0.0001723002,0.001438837,0.000009689604,0.00410095,0.00005106439,0.5003218,0.2043269,0.03046929,0.2314187],"study_design_scores_gemma":[0.0003554627,0.0002505769,0.8145233,0.0003251274,0.00007610046,0.000001037257,0.03602678,0.000006302458,0.04358683,0.004146452,0.100454,0.0002479983],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9654957,0.0002824344,0.000006353537,0.01252635,0.0001844801,0.0008310054,0.00008807006,0.00001936761,0.02056621],"genre_scores_gemma":[0.9965216,0.00002554121,0.0001037327,0.001986601,0.00004522806,0.000110812,0.0000131004,4.77846e-7,0.001192886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7877885,"threshold_uncertainty_score":0.2724091,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01629304965380637,"score_gpt":0.2012496192788744,"score_spread":0.1849565696250681,"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."}}