{"id":"W2564206442","doi":"10.1093/jee/tow293","title":"Can the Use of<i>Trichogramma ostriniae</i>(Hymenoptera: Trichogrammatidae) to Control<i>Ostrinia nubilalis</i>(Lepidoptera: Crambidae) Be Economically Sustainable for Processing Sweet Corn?","year":2016,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-Québec; Institut de Recherche et de Développement en Agroenvironnement; Grain Research Centre","funders":"","keywords":"Ostrinia; Crambidae; European corn borer; Trichogramma; Biology; Trichogrammatidae; Pyralidae; Biological pest control; Agronomy; Lepidoptera genitalia; PEST analysis; Toxicology; Horticulture; Botany; Parasitoid","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007569009,0.0002751111,0.0005998795,0.0001955943,0.0001165263,0.00009478952,0.0005517184,0.0002287369,0.00003105047],"category_scores_gemma":[0.0003582521,0.0001864594,0.0003214319,0.00008831834,0.000178148,0.00003184138,0.0001055331,0.0001271613,0.000004235416],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001435754,"about_ca_system_score_gemma":0.0005283076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000061366,"about_ca_topic_score_gemma":0.0001926285,"domain_scores_codex":[0.9976532,0.0001383729,0.001146665,0.0003506157,0.00009112636,0.000619975],"domain_scores_gemma":[0.9976056,0.0003118825,0.0009954182,0.0004231729,0.0004609175,0.0002030145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.02448554,0.001288864,0.08676682,0.0006304483,0.003707605,0.0001826104,0.001407048,0.009669567,0.5546246,0.01145946,0.08904111,0.2167363],"study_design_scores_gemma":[0.0121523,0.006936336,0.005339805,0.0001042815,0.0004097355,0.0003989895,0.000364155,0.0001205251,0.126343,0.003122129,0.8438125,0.0008962621],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822119,0.0003822455,0.0110635,0.004912691,0.0004070835,0.0006986003,0.0001021739,0.000006030372,0.0002157096],"genre_scores_gemma":[0.9936334,0.0002141729,0.002420048,0.001531779,0.0005956289,0.00004855981,0.00001275434,0.00003847673,0.001505171],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7547714,"threshold_uncertainty_score":0.7603595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01870385011976437,"score_gpt":0.2558822102623748,"score_spread":0.2371783601426105,"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."}}