{"id":"W4390589622","doi":"10.1186/s43088-023-00461-x","title":"Use of agro-industrial bio-waste for the growth and production of a previously isolated Bacillus thuringiensis strain","year":2024,"lang":"en","type":"article","venue":"Beni-Suef University Journal of Basic and Applied Sciences","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Applied Molecular Biosciences Unit; Fundação de Apoio à Pesquisa e à Inovação Tecnológica do Estado de Sergipe; University of Waterloo; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Bacillus thuringiensis; Fermentation; Biology; Spore; Bacteria; Strain (injury); Food science; Orange (colour); Biotechnology; Botany; Genetics","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":[0.0002336383,0.0005957215,0.0003894978,0.0003155635,0.0001983428,0.0004306386,0.0003244483,0.0002823448,0.0006467877],"category_scores_gemma":[0.0002255062,0.0001432295,0.0004076017,0.000396678,0.0001371752,0.000192666,0.0004218818,0.0004200321,0.0003376891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002108219,"about_ca_system_score_gemma":0.0002378856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009670735,"about_ca_topic_score_gemma":0.001283656,"domain_scores_codex":[0.9996101,0.00005494864,0.000063752,0.0000891362,0.0001249909,0.00005706566],"domain_scores_gemma":[0.9998301,0.00003144236,0.00004846828,0.00002698793,0.00003150884,0.000031488],"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":[0.0000546618,0.00006383345,0.0004376125,0.00004431234,0.000005247215,0.00005479024,0.00001235876,0.00003494807,0.9982334,0.00001393071,0.00001219296,0.001032617],"study_design_scores_gemma":[0.000007094238,0.000544132,0.006115114,0.00001188948,0.00002515275,0.0002245873,0.0000488441,0.0002771914,0.9921463,0.00001401926,0.0005803861,0.000005137361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965382,0.0004394842,0.001528498,0.00005044201,0.00002152075,0.00004901874,0.0005160858,0.00003147808,0.0008253278],"genre_scores_gemma":[0.9884369,0.0005247027,0.006590185,0.00003463019,0.000009333583,0.00007060772,0.00239127,0.00002901587,0.001913506],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009670735,"threshold_uncertainty_score":0.002163768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697665476390279,"score_gpt":0.2169980882388761,"score_spread":0.1900214334749733,"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."}}