{"id":"W2783944602","doi":"10.5539/jas.v10n2p148","title":"Effectiveness of Silver Nanoparticles against Root-Knot Nematode, Meloidogyne incognita Infecting Tomato under Greenhouse Conditions","year":2018,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Nematode management and characterization studies","field":"Agricultural and Biological Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Meloidogyne incognita; Root-knot nematode; Silver nitrate; Nematode; Terra incognita; Biology; Horticulture; Greenhouse; Silver nanoparticle; Rhizome; Nematode infection; Agronomy; Chemistry; Botany; Nanoparticle; Materials science; Nuclear chemistry","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":[0.0001530013,0.0003239185,0.000201389,0.0002040957,0.0001187018,0.0001455837,0.000164685,0.0002756736,0.0004899157],"category_scores_gemma":[0.0001488026,0.0001232198,0.000154256,0.00006635391,0.0001177444,0.0001476674,0.0001148162,0.0002077353,0.00009940133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001258206,"about_ca_system_score_gemma":0.0001172107,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001052626,"about_ca_topic_score_gemma":0.002489934,"domain_scores_codex":[0.9999126,0.00001544306,0.00001057575,0.00002419027,0.00002442325,0.00001264029],"domain_scores_gemma":[0.9998676,0.00003524728,0.0000310184,0.000008544227,0.00003232618,0.00002537234],"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":[0.00007829565,0.00003188977,0.00008659095,0.00005444275,0.000002849043,0.0000204004,0.00001118734,0.00005979948,0.9989787,0.000006288049,0.00001748272,0.0006520824],"study_design_scores_gemma":[0.0000132825,0.001990734,0.002650317,0.00001024481,0.00001811965,0.00004581963,0.0000368939,0.0003919635,0.9942563,0.000009394043,0.0005718104,0.000005014329],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977455,0.0008263383,0.0003101618,0.00004851246,0.00002441156,0.00002740465,0.000115388,0.00003377008,0.0008685223],"genre_scores_gemma":[0.9956775,0.0007149794,0.00149931,0.0000367846,0.000008814202,0.00003727997,0.0001843151,0.00001023075,0.001830689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001052626,"threshold_uncertainty_score":0.002092957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0154523241864379,"score_gpt":0.2501305436995896,"score_spread":0.2346782195131517,"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."}}