{"id":"W4404868962","doi":"10.5376/bm.2024.15.0022","title":"CRISPR-based Gene Editing in <i>Bt</i> for Improved Insecticidal Properties","year":2024,"lang":"en","type":"article","venue":"Bioscience Methods","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CRISPR; Genome editing; Gene; Biology; Genetics; Biotechnology; Computational biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0002684736,0.0004631882,0.0003847569,0.0002416025,0.0002072887,0.0005089394,0.000444656,0.0004702906,0.002352425],"category_scores_gemma":[0.0002081753,0.0001796502,0.000313687,0.0002336925,0.0003539069,0.0002327574,0.0003823579,0.0008058324,0.0008462907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005484719,"about_ca_system_score_gemma":0.0003940777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002051916,"about_ca_topic_score_gemma":0.003144288,"domain_scores_codex":[0.9997566,0.00002800314,0.00002363266,0.00005839753,0.00009307075,0.00004029432],"domain_scores_gemma":[0.9998679,0.00002288239,0.0000489863,0.00002011731,0.00001596956,0.00002416216],"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":[0.00002869828,0.00001195738,0.00009879989,0.00004648821,0.000005664045,0.00007367547,0.00001573811,0.0003384605,0.9951994,0.0004324857,0.0002411585,0.003507559],"study_design_scores_gemma":[0.00001379236,0.00009212906,0.001323215,0.000008968135,0.00002055564,0.0003050425,0.00002395369,0.004221094,0.9786488,0.0001685098,0.01515661,0.00001732568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7910787,0.001999041,0.1777985,0.0007749127,0.0002983235,0.0003177475,0.004266703,0.004078202,0.01938776],"genre_scores_gemma":[0.937853,0.001059084,0.04245774,0.0001959326,0.00001629243,0.0001392267,0.002000871,0.0003946213,0.01588324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002352425,"threshold_uncertainty_score":0.007869601,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02712834376070239,"score_gpt":0.365624510192174,"score_spread":0.3384961664314716,"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."}}