{"id":"W4293053647","doi":"10.5539/jas.v14n7p121","title":"Control of Meloidogyne incognita Using Aqueous Extracts and Solanum stramonifolium Jacq. Dialisates","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação de Apoio à Pesquisa do Distrito Federal; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária","keywords":"Meloidogyne incognita; Terra incognita; Solanum; Biology; Bioassay; Nematode; Biological pest control; Caenorhabditis elegans; Root-knot nematode; Pesticide; Horticulture; Solanaceae; Inoculation; Bacteria; Botany; Toxicology; Agronomy; Biochemistry; Ecology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.00008955149,0.0005163493,0.000204463,0.0002454486,0.00009664729,0.0002144857,0.0001915124,0.0002278812,0.0003342936],"category_scores_gemma":[0.00007075813,0.0001126709,0.0002268413,0.0001178012,0.0001026374,0.0001280415,0.0001593843,0.0002523645,0.00009907259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002025361,"about_ca_system_score_gemma":0.0002131122,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002452949,"about_ca_topic_score_gemma":0.005713994,"domain_scores_codex":[0.9999144,0.00001177337,0.00001131082,0.00001992438,0.00002466789,0.0000178489],"domain_scores_gemma":[0.9999362,0.000007418024,0.00002510395,0.00000352784,0.00001349311,0.00001415943],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00004285808,0.00002284245,0.00009200191,0.00003585136,0.000002690471,0.00001500448,0.000005311392,0.00003014796,0.9987115,0.000006995969,0.00001062409,0.001024064],"study_design_scores_gemma":[0.00001746737,0.001061229,0.004283397,0.00001553623,0.00002317659,0.00009026712,0.0000241735,0.0006616805,0.992327,0.000008635634,0.001482086,0.000005170183],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951408,0.002470956,0.0009856967,0.00008430608,0.00002602687,0.00004057893,0.0001948904,0.00004849692,0.00100824],"genre_scores_gemma":[0.9939005,0.00143258,0.002246524,0.0000608195,0.00000995746,0.00003067515,0.0003402551,0.000008240072,0.001970367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002452949,"threshold_uncertainty_score":0.004877388,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01869276688145021,"score_gpt":0.2212428769914631,"score_spread":0.2025501101100128,"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."}}