{"id":"W2009128517","doi":"10.1007/s11274-005-7712-5","title":"Influence of pH Control Agents on Entomotoxicity Potency of Bacillus thuringiensis using Different Raw Materials","year":2005,"lang":"en","type":"article","venue":"World Journal of Microbiology and Biotechnology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":6,"is_retracted":false,"has_abstract":false,"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":"Potency; Soybean meal; Fermentation; Spore; Bacillus thuringiensis; Food science; Raw material; Chemistry; Protease; Ammonium; Single-cell protein; Acetic acid; Biology; Microbiology; Bacteria; Biochemistry; Organic chemistry; In vitro; Enzyme","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":[0.0002070898,0.0001643484,0.0004376917,0.0002398291,0.00004212394,0.000003041825,0.000226527,0.0003657652,0.00001709816],"category_scores_gemma":[0.00004765549,0.0001269509,0.00009348981,0.00008807494,0.0004169025,0.000003777378,0.00008151525,0.0001645901,7.058385e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001689287,"about_ca_system_score_gemma":0.000038075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006083264,"about_ca_topic_score_gemma":0.00006234381,"domain_scores_codex":[0.9989103,0.00008112207,0.0005588861,0.0001815583,0.00004729491,0.0002208151],"domain_scores_gemma":[0.9990225,0.00001772169,0.0005786122,0.0002106637,0.0001363539,0.00003410396],"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":[0.0005080511,0.0001191472,0.001305064,0.00002484318,0.0001395991,0.000005132583,0.00002001283,0.0005576158,0.9961271,0.0001001268,0.00005888881,0.001034411],"study_design_scores_gemma":[0.001060042,0.0007799859,0.005807921,0.00006825441,0.00005245848,0.0001948147,0.00001268508,0.00000403257,0.9903643,0.00004153875,0.001503172,0.0001107666],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9978167,0.001454254,0.0001490245,0.0003243532,0.00009360237,0.00009779431,0.00004873966,0.000002928805,0.00001258178],"genre_scores_gemma":[0.9982727,0.0009569999,0.0003805626,0.0002537383,0.00007443556,5.760381e-7,0.000005545638,0.000008224986,0.00004718778],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005762779,"threshold_uncertainty_score":0.5176905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006296812238130308,"score_gpt":0.2258063057597403,"score_spread":0.2195094935216099,"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."}}