{"id":"W2180035319","doi":"10.1603/0022-0493-99.4.1065","title":"Screening of Different Adjuvants for Wastewater/Wastewater Sludge-Based &lt;I&gt;Bacillus thuringiensis&lt;/I&gt; Formulations","year":2006,"lang":"en","type":"article","venue":"Journal of Economic Entomology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Food science; Fermentation; Sodium metabisulfite; Sodium; Hydrolysis; Starch; Wastewater; Biology; Chemistry; Biochemistry; Waste management; 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":[0.0002306257,0.0006118459,0.0003172341,0.0003412521,0.00008934729,0.0002096535,0.0001879906,0.0002470032,0.0005999517],"category_scores_gemma":[0.0002894946,0.0001340272,0.000283535,0.0002213894,0.00009621235,0.0001578322,0.0001865007,0.0002969939,0.0002127548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001586373,"about_ca_system_score_gemma":0.0002315786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005489675,"about_ca_topic_score_gemma":0.001203091,"domain_scores_codex":[0.9998373,0.00004304061,0.0000254094,0.00002166502,0.00004497962,0.00002760808],"domain_scores_gemma":[0.9998454,0.00002280875,0.00005368009,0.000007498631,0.00004108235,0.00002955024],"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":[0.00006815147,0.00007624855,0.0001250129,0.0000653213,0.000003406569,0.00001586505,0.000007454077,0.0001227147,0.9977614,0.00001252814,0.00002216261,0.001719741],"study_design_scores_gemma":[0.0000125457,0.001493108,0.0008509655,0.00001379829,0.00002682758,0.00004959317,0.00001314683,0.000428764,0.9962668,0.000006542788,0.0008337446,0.000004111879],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939198,0.001496322,0.002798388,0.000099904,0.00002468648,0.0001774501,0.0002993359,0.00008856154,0.00109554],"genre_scores_gemma":[0.9782377,0.001782711,0.01611929,0.0001099512,0.00001809692,0.0002144637,0.0008602201,0.00004133445,0.002616146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0006118459,"threshold_uncertainty_score":0.002007008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278474954822907,"score_gpt":0.241054673946597,"score_spread":0.228269924398368,"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."}}