{"id":"W2050351735","doi":"10.1080/09583150120035684","title":"A New Field Procedure and Method of Analysis to Evaluate the Performance of Bacillus thuringiensis subsp. israelensis Liquid Formulations in Streams and Rivers","year":2001,"lang":"en","type":"article","venue":"Biocontrol Science and Technology","topic":"Insect Resistance and Genetics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment; Agenția Națională pentru Cercetare și Dezvoltare","keywords":"Bacillus thuringiensis; STREAMS; River ecosystem; Abiotic component; Field trial; Environmental science; Biology; Ecology; Habitat; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003343879,0.00007917167,0.0001636583,0.0003049214,0.00008231078,0.000008146279,0.0001398708,0.00009887009,0.000001732328],"category_scores_gemma":[0.0001523636,0.00005707645,0.00002140448,0.001128382,0.0002585227,0.00000761669,0.0001061047,0.00004401001,8.486771e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000059617,"about_ca_system_score_gemma":0.00009638171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001125197,"about_ca_topic_score_gemma":0.0008179023,"domain_scores_codex":[0.9993024,0.00001225865,0.0001511707,0.0002467615,0.0001114357,0.0001759146],"domain_scores_gemma":[0.9995289,0.00001942875,0.00005139652,0.0002065486,0.0001529704,0.00004074649],"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":[0.0001979454,0.00001579497,0.08020741,0.00001473644,0.00007349156,7.703523e-7,0.0002044322,0.0001151319,0.8463879,0.0003387762,0.00001625328,0.0724274],"study_design_scores_gemma":[0.0009570427,0.001912879,0.0789979,0.00002191306,0.0002117918,0.00003216906,0.0005168034,0.004771405,0.9114051,0.0002653117,0.0007184572,0.0001892252],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968196,0.0009300114,0.0009693486,0.001015818,0.000008148803,0.0001930974,0.000003107152,0.000003446635,0.00005742267],"genre_scores_gemma":[0.9966404,0.0007801786,0.002436755,0.00009754144,0.000007850972,0.000009090944,7.191763e-7,0.000002328675,0.00002508048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07223818,"threshold_uncertainty_score":0.232751,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005512059892221215,"score_gpt":0.2616213547178631,"score_spread":0.2561092948256419,"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."}}