{"id":"W235647673","doi":"","title":"USING INSECTS AS A NOVEL APPLICATION STRATEGY FOR THE DELIVERY OF MICROBIAL AGENTS FOR BIOLOGICAL CONTROL OF ARTHROPOD PESTS IN GREENHOUSE CROPS","year":2008,"lang":"en","type":"article","venue":"The Atrium (University of Guelph)","topic":"Entomopathogenic Microorganisms in Pest Control","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Metarhizium anisopliae; Biology; Beauveria bassiana; Biological pest control; Hypocreales; Integrated pest management; Pest control; Metarhizium; Biopesticide; PEST analysis; Agronomy; Beneficial insects; Beauveria; Biotechnology; Ecology; Botany; Pesticide","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":[0.0003175701,0.00009845808,0.0002419942,0.00002006199,0.0002185561,0.000003381421,0.0004893126,0.0001031004,0.00002851202],"category_scores_gemma":[0.00004789174,0.0000433937,0.0001765098,0.0002184526,0.0003531832,0.00006042481,0.00007154129,0.00006802161,0.000001195954],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002749914,"about_ca_system_score_gemma":0.00003659488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002736781,"about_ca_topic_score_gemma":0.001443893,"domain_scores_codex":[0.9992921,0.00006246936,0.0001892755,0.0001799083,0.0001020835,0.0001741231],"domain_scores_gemma":[0.9989091,0.0004842794,0.0002955147,0.0001014526,0.0001827514,0.00002695577],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005171045,0.0001344892,0.002049129,0.0000112276,0.00003151784,9.370939e-7,0.000250499,0.0002584562,0.9938828,0.0002653067,0.00002381485,0.002574672],"study_design_scores_gemma":[0.006878864,0.001695824,0.9324619,0.00004880256,0.0002726645,0.00006449461,0.003349288,0.01023797,0.04262517,0.0009006475,0.001088813,0.0003755584],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9897761,0.0001863269,0.008453492,0.0003332032,0.0000323843,0.0009494955,0.000251357,0.000009610055,0.000008050265],"genre_scores_gemma":[0.9990889,0.0000869541,0.0006869601,0.00004754785,0.00004788713,0.000001586238,0.00001525174,0.000001366122,0.00002347661],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9512577,"threshold_uncertainty_score":0.4137213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05572703881582312,"score_gpt":0.2394834143991747,"score_spread":0.1837563755833516,"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."}}