{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001176517,0.0003485021,0.0001780763,0.0002052299,0.0001484299,0.0003848055,0.0001656601,0.0003382173,0.0006857141],"category_scores_gemma":[0.0000578386,0.0001103674,0.0002068187,0.0001019115,0.0001639589,0.000249653,0.0001976468,0.0003755102,0.000316325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001726282,"about_ca_system_score_gemma":0.0001146336,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000394594,"about_ca_topic_score_gemma":0.0006493707,"domain_scores_codex":[0.9999171,0.00001325609,0.000006340454,0.00002238659,0.00002729292,0.00001357084],"domain_scores_gemma":[0.9999694,0.000005890555,0.00001033122,0.000003492732,0.000004479359,0.000006334584],"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":[0.00001062838,0.00001318751,0.00005039509,0.00004498573,0.000001947464,0.00004762978,0.00001135427,0.00004020066,0.9954032,0.0001609146,0.00003739738,0.004178167],"study_design_scores_gemma":[0.00001204873,0.0005462543,0.001326071,0.00001433225,0.00002430302,0.0005187664,0.00002026061,0.0006625594,0.9860746,0.00005723514,0.01073482,0.000008763092],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8937356,0.01604287,0.07517151,0.0005646233,0.0002277405,0.0003394524,0.0002270249,0.0005366585,0.01315446],"genre_scores_gemma":[0.906928,0.01023881,0.07164121,0.0002668562,0.00005960008,0.000174142,0.000198947,0.00005052451,0.01044187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006857141,"threshold_uncertainty_score":0.002293944,"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."}}