{"id":"W2279412971","doi":"10.2166/wst.2001.0634","title":"Effect of surface active agents on the production of biopesticides using wastewater sludge as a raw material","year":2001,"lang":"en","type":"article","venue":"Water Science & Technology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biopesticide; Bioassay; Raw material; Bacillus thuringiensis; Wastewater; Pulp and paper industry; Spore; Chemistry; Food science; Waste management; Biotechnology; Toxicology; Environmental science; Pesticide; Biology; Botany; Environmental engineering; Agronomy; Bacteria; Organic chemistry","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001824012,0.0006379925,0.0004889885,0.0002846501,0.0001291871,0.0004134197,0.0001618228,0.0002977194,0.0005854724],"category_scores_gemma":[0.0003553619,0.0001802272,0.0003448624,0.0002270821,0.0001803804,0.0001702893,0.0002260687,0.000377679,0.0002315994],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001273522,"about_ca_system_score_gemma":0.0001923872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000391725,"about_ca_topic_score_gemma":0.0006826733,"domain_scores_codex":[0.9997887,0.00005292264,0.00002898202,0.00002986575,0.00006805739,0.00003148342],"domain_scores_gemma":[0.9996186,0.0001081322,0.0001130159,0.00002310343,0.00007287298,0.00006421973],"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":[0.0001003665,0.00003493581,0.0001311056,0.0000577125,0.000005645385,0.00003010701,0.000007949289,0.00007503371,0.998539,0.00000609245,0.000005845495,0.001006347],"study_design_scores_gemma":[0.000005499062,0.0006750628,0.0008149245,0.000005089405,0.00001250838,0.00004331498,0.00001057621,0.0001471175,0.9980986,0.000005971287,0.0001791496,0.000002221847],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997659,0.0007562365,0.0008946023,0.00002498716,0.00001332285,0.000022082,0.00009530609,0.00002355147,0.0005110305],"genre_scores_gemma":[0.9949372,0.001053361,0.002774606,0.00002324948,0.000007861832,0.00001789392,0.0002444001,0.00001401208,0.0009275018],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006379925,"threshold_uncertainty_score":0.001958609,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009458460560172662,"score_gpt":0.2639092742143153,"score_spread":0.2544508136541426,"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."}}