{"id":"W4394860485","doi":"10.1093/pnasnexus/pgae122","title":"Entomopathogenic nematodes as an effective and sustainable alternative to control the fall armyworm in Africa","year":2024,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Research Council; National Commission for Science and Technology; Université de Neuchâtel; Center for Advanced Brain Imaging; Direktion für Entwicklung und Zusammenarbeit; Department for International Development; European Commission; International Development Research Centre","keywords":"Fall armyworm; Infestation; Biology; Cypermethrin; Agronomy; Nematode; PEST analysis; Toxicology; Entomopathogenic nematode; Biological pest control; Hectare; Pesticide; Horticulture; Ecology; Agriculture","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000304165,0.0001338835,0.0001134147,0.00005655676,0.00007301281,0.00009718705,0.0001454274,0.00006965257,0.000004471098],"category_scores_gemma":[0.00007321686,0.00009835044,0.00004152198,0.0001421043,0.00004947962,0.000006113895,0.00008234293,0.00009728732,0.00001466348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002790179,"about_ca_system_score_gemma":0.00005528079,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001729817,"about_ca_topic_score_gemma":0.0004889917,"domain_scores_codex":[0.9990197,0.0001045499,0.0001101238,0.0003224285,0.00009682222,0.0003463877],"domain_scores_gemma":[0.9995949,0.00004254031,0.00001788864,0.0002124631,0.00005813167,0.00007411685],"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":[0.001838575,0.0003576262,0.003250188,0.0004644552,0.0005077426,0.001144741,0.0205205,0.002285056,0.8867807,0.04453289,0.003244737,0.03507278],"study_design_scores_gemma":[0.003940716,0.006317357,0.02531535,0.0002427171,0.0002363088,0.0002776567,0.01041502,0.004181412,0.5800105,0.06429362,0.3031346,0.001634732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871168,0.007022665,0.0008604957,0.0002698658,0.00009327198,0.0005736147,0.000011029,0.00001281761,0.004039509],"genre_scores_gemma":[0.9973266,0.0001185265,0.00003937448,0.0003858043,0.0001707375,0.0001493942,0.000008269007,0.00001841205,0.001782884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3067702,"threshold_uncertainty_score":0.4010614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00437015251606977,"score_gpt":0.2535212365033024,"score_spread":0.2491510839872326,"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."}}