{"id":"W3026552951","doi":"10.3390/d12050204","title":"Biological Control of Salvinia molesta (D.S. Mitchell) Drives Aquatic Ecosystem Recovery","year":2020,"lang":"en","type":"article","venue":"Diversity","topic":"Biological Control of Invasive Species","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Rhodes University; National Research Foundation","keywords":"Biodiversity; Biology; Ecology; Macrophyte; Biological pest control; Mesocosm; Aquatic ecosystem; Ecosystem; Aquatic plant; Environmental science; Fishery","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":[0.0001767705,0.0001638818,0.0004172345,0.000007377851,0.0001973333,0.00002028353,0.0005270338,0.0001666625,0.0005845318],"category_scores_gemma":[0.0004702733,0.0000604215,0.0002516785,0.0001953617,0.0001382154,0.00009085446,0.0004068252,0.0001378524,0.0001340342],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002252562,"about_ca_system_score_gemma":0.000005837749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000879939,"about_ca_topic_score_gemma":0.00009410529,"domain_scores_codex":[0.9987517,0.0002026096,0.000249327,0.0003456364,0.0001984174,0.0002522998],"domain_scores_gemma":[0.9989076,0.0005995429,0.0001877943,0.00005566498,0.00007623644,0.0001731336],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006558317,0.0001791557,0.4971158,0.00002605148,0.0001523715,0.00003444034,0.0002111356,0.00001499616,0.4783044,0.00122229,0.001379446,0.02070406],"study_design_scores_gemma":[0.0009128183,0.002043495,0.9808745,0.00002517787,0.00005776361,0.000002366738,0.0009640025,0.0002588039,0.005416485,0.001093032,0.007934173,0.0004174295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9943876,0.000212532,0.0000788935,0.003563581,0.00007578871,0.0002348568,0.0003011436,0.00008553403,0.001060014],"genre_scores_gemma":[0.9982415,0.00006438184,0.00005873845,0.00143954,0.0001469195,0.000002084637,0.00002749115,5.051266e-7,0.00001883522],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4837586,"threshold_uncertainty_score":0.6400213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0395439775800889,"score_gpt":0.1833614024546177,"score_spread":0.1438174248745288,"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."}}