{"id":"W2019065042","doi":"10.1080/09593330902753495","title":"Starch industry wastewater for production of biopesticides – ramifications of solids concentrations","year":2009,"lang":"en","type":"article","venue":"Environmental Technology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Industrial fermentation; Biopesticide; Chemistry; Wastewater; Suspended solids; Volatile suspended solids; Fermentation; Chemical oxygen demand; Total suspended solids; Spore; Raw material; Food science; Waste management; Botany; Biology; Pesticide; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00003959207,0.00006647355,0.00008601555,0.00005152381,0.00003874407,0.000001467746,0.0001002908,0.0002289222,0.000009956375],"category_scores_gemma":[0.0000240237,0.00006629377,0.00003230374,0.00005787249,0.0003079798,0.000002047198,0.00002055705,0.00006450095,9.344387e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001018714,"about_ca_system_score_gemma":0.000017447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.21094e-7,"about_ca_topic_score_gemma":0.000001715495,"domain_scores_codex":[0.9994978,0.00000825471,0.0001707534,0.0001586259,0.00004770796,0.0001168901],"domain_scores_gemma":[0.9996572,0.000002800287,0.00007248556,0.0002408755,0.00001283801,0.00001387403],"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":[0.00004105007,0.0001190536,0.003264245,0.000006479352,0.00001421547,8.905216e-8,0.00003367426,0.0000630565,0.9943462,0.0006114142,0.0001028674,0.001397625],"study_design_scores_gemma":[0.0001727015,0.0006322095,0.004969458,0.000005378625,0.00001397413,0.000003977445,0.0003180297,0.000004622531,0.9901528,0.0007223637,0.002941549,0.00006290057],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983574,0.0002876904,0.0004711628,0.0005127127,0.00004286038,0.0002339963,0.00003807426,0.000006415181,0.00004974115],"genre_scores_gemma":[0.9963305,0.0001037127,0.003146655,0.00002299805,0.0000351799,0.00002215706,0.00009790927,0.000005875682,0.0002349966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004193394,"threshold_uncertainty_score":0.2703381,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007674784823552014,"score_gpt":0.2406364803414388,"score_spread":0.2329616955178868,"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."}}