{"id":"W2030654068","doi":"10.1002/jctb.1204","title":"Production of <i>Bacillus thuringiensis</i>‐based biopesticides in batch and fed batch cultures using wastewater sludge as a raw material","year":2005,"lang":"en","type":"article","venue":"Journal of Chemical Technology & Biotechnology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré de Santé et de Services Sociaux des Laurentides; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Raw material; Bacillus thuringiensis; Biopesticide; Wastewater; Spore; Pulp and paper industry; Sequencing batch reactor; Fermentation; Activated sludge; Food science; Biology; Chemistry; Biotechnology; Waste management; Bacteria; Microbiology; Environmental science; Environmental engineering; Pesticide; Agronomy","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":[0.0003197961,0.0008982457,0.0007369424,0.0003686817,0.0001745933,0.0005835015,0.0003201493,0.000340079,0.0003309144],"category_scores_gemma":[0.000304449,0.0002656385,0.0005466298,0.0004348783,0.0001853014,0.0002894684,0.0003280068,0.0005784897,0.0003475836],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004005755,"about_ca_system_score_gemma":0.0002622353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001591489,"about_ca_topic_score_gemma":0.002142082,"domain_scores_codex":[0.9996734,0.00005946208,0.00004609541,0.00006121215,0.0001171202,0.00004273191],"domain_scores_gemma":[0.9997225,0.00005137676,0.00007446996,0.00003456781,0.00005065278,0.00006635243],"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":[0.00007468961,0.00005291874,0.0001769098,0.00003937409,0.000007221206,0.00002564771,0.000009090297,0.0001177084,0.9985231,0.000009389629,0.00001307408,0.0009509988],"study_design_scores_gemma":[0.00001156444,0.0004479726,0.001479369,0.000005252004,0.00002104586,0.00006002599,0.00001271588,0.0004751493,0.997315,0.000009144926,0.000156422,0.000006302796],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945834,0.0005833979,0.00330142,0.00005341837,0.00003371015,0.00007366233,0.000567073,0.0001402044,0.0006637714],"genre_scores_gemma":[0.986068,0.0005959235,0.01038021,0.0000265918,0.00001375459,0.00005757863,0.001275298,0.00005278524,0.001529722],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001591489,"threshold_uncertainty_score":0.00316447,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006184996179842916,"score_gpt":0.2447983570154462,"score_spread":0.2386133608356033,"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."}}