{"id":"W3212522929","doi":"10.1007/s41348-021-00548-6","title":"Occurrence and molecular identification of an invasive rice strain of fall armyworm Spodoptera frugiperda (Lepidoptera: Noctuidae) from Sindh, Pakistan, using mitochondrial cytochrome c oxidase I gene sequences","year":2021,"lang":"en","type":"article","venue":"Journal of Plant Diseases and Protection","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; Agriculture and Agri-Food Canada; Ministry of Agriculture of the People's Republic of China; Department for International Development","keywords":"Biology; PEST analysis; Spodoptera; Fall armyworm; Botany; Molecular marker; Strain (injury); Phylogenetic tree; Veterinary medicine; Lepidoptera genitalia; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000152577,0.0004612777,0.0001890778,0.0009703444,0.0005914563,0.0004235792,0.000164515,0.0003298221,0.0004465863],"category_scores_gemma":[0.0002682055,0.0002170708,0.0002035859,0.0007982331,0.0002902093,0.0001996811,0.0001884421,0.0003024095,0.0001827569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002709983,"about_ca_system_score_gemma":0.0003520583,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01306707,"about_ca_topic_score_gemma":0.01571972,"domain_scores_codex":[0.9998171,0.00001227343,0.00001673276,0.00006113892,0.0000559377,0.00003692171],"domain_scores_gemma":[0.9997029,0.00003915534,0.00013943,0.00000922048,0.0000592554,0.0000500496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002113857,0.0002393834,0.7783319,0.0001856575,0.00006669931,0.002621246,0.001503628,0.0001520556,0.1998605,0.0000528094,0.0003569396,0.01641777],"study_design_scores_gemma":[0.00001107381,0.0002394988,0.9936021,0.00001555705,0.00002513518,0.001423093,0.0009371113,0.0002057311,0.00269924,0.00001409407,0.0008210657,0.000006285593],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982553,0.000163292,0.0002242429,0.0000220421,0.000009560777,0.00003612118,0.0007797917,0.000003149597,0.000506645],"genre_scores_gemma":[0.9972423,0.000272362,0.0006969117,0.0000369244,0.000008826599,0.00001703485,0.001470276,0.000001499597,0.0002538194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01306707,"threshold_uncertainty_score":0.02598202,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01240420755795929,"score_gpt":0.2545969003861254,"score_spread":0.2421926928281661,"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."}}