{"id":"W4210592079","doi":"10.1186/s43170-021-00053-8","title":"Is radio an effective method for delivering actionable information for responding to emerging pest threats? A case study of fall armyworm campaign in Zambia","year":2021,"lang":"en","type":"article","venue":"CABI Agriculture and Bioscience","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Australian Centre for International Agricultural Research; Agriculture and Agri-Food Canada; International Fund for Agricultural Development; Ministry of Agriculture of the People's Republic of China; Department for International Development; Irish Aid","keywords":"Fall armyworm; Integrated pest management; Geography; Infestation; Socioeconomics; Agricultural science; Agronomy; Biology; Sociology","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":[0.0002641051,0.00009653039,0.0001190136,0.00008096802,0.0001624755,0.0000423277,0.00007037,0.00007048533,5.883528e-7],"category_scores_gemma":[0.00007445812,0.00007457465,0.0000352374,0.0004074606,0.00001483067,0.00002915878,0.0000414718,0.00003700392,8.30558e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002164568,"about_ca_system_score_gemma":0.00003480361,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001324773,"about_ca_topic_score_gemma":0.002167352,"domain_scores_codex":[0.9993137,0.00003392148,0.0001514459,0.0002551327,0.00007825519,0.0001675223],"domain_scores_gemma":[0.9995193,0.00002953281,0.00005966811,0.0001138844,0.000223946,0.00005365053],"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":[0.0001305186,0.00009326519,0.002381497,0.00006219125,0.00001422628,0.00001113364,0.005462504,0.0003980497,0.9788689,0.00002634886,0.0001112173,0.01244014],"study_design_scores_gemma":[0.001276403,0.00209312,0.01993225,0.00004714409,0.00004601041,0.000275519,0.03292091,0.0006555073,0.9367859,0.00004374307,0.005619547,0.0003039289],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9806075,0.0001813834,0.0183238,0.00004331925,0.00006488158,0.0007166536,0.0000310506,0.000003356083,0.00002804327],"genre_scores_gemma":[0.9911733,0.00003563228,0.008281687,0.0001526964,0.00005458052,0.0001189608,0.0000255846,0.000003349598,0.0001541893],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.042083,"threshold_uncertainty_score":0.3041066,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01072549861291971,"score_gpt":0.3050475518251248,"score_spread":0.2943220532122051,"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."}}