{"id":"W2947501295","doi":"10.5539/jas.v11n8p76","title":"Developmental Parameters of Spodoptera frugiperda (Lepidoptera: Noctuidae) Immature Stages Under Controlled and Standardized Conditions","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Instituto Chico Mendes de Conservação da Biodiversidade; Ministério do Meio Ambiente; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Empresa Brasileira de Pesquisa Agropecuária","keywords":"Spodoptera; Noctuidae; Pupa; PEST analysis; Larva; Biology; Lepidoptera genitalia; Instar; Fall armyworm; Integrated pest management; Zoology; Toxicology; Veterinary medicine; Ecology; Botany","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003165598,0.0001148885,0.0002625138,0.0000512443,0.00008978609,0.000052477,0.0001977803,0.00006017628,0.00002585452],"category_scores_gemma":[0.00005176097,0.00006503906,0.0001032528,0.0001477475,0.0002217203,0.00002570143,0.00005232066,0.00009375814,0.000001722923],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003305516,"about_ca_system_score_gemma":0.0001661761,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003135226,"about_ca_topic_score_gemma":0.000006980721,"domain_scores_codex":[0.9989834,0.00002869502,0.000324212,0.00015145,0.0003308363,0.0001814096],"domain_scores_gemma":[0.9991383,0.00002414379,0.0002926543,0.00006453804,0.0003908706,0.00008949092],"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":[0.0003008786,0.00002099085,0.002765629,0.000009127671,0.00005101663,0.000001471694,0.0001027804,0.0001811484,0.9961175,0.00003769465,0.0002391811,0.0001726125],"study_design_scores_gemma":[0.003328679,0.0005207475,0.4509043,0.00005760205,0.0000403843,0.000145032,0.001359253,0.000003494515,0.5427347,0.00004351102,0.0006787663,0.000183541],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982672,0.0005409391,0.00005358637,0.0001608956,0.0001577196,0.0001539692,0.0000131244,0.0000015148,0.0006510832],"genre_scores_gemma":[0.9959768,0.0002178017,0.003352889,0.00009968371,0.00004867215,0.000001270058,0.000004594046,0.000002866359,0.0002954252],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4533827,"threshold_uncertainty_score":0.2652216,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004455493674409892,"score_gpt":0.2295295776739121,"score_spread":0.2250740839995022,"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."}}