{"id":"W2900039373","doi":"10.20944/preprints201811.0159.v1","title":"A Multiplex CRISPR/Cas9 System for Use as an Anti-BmNPV Therapeutic","year":2018,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministry of Agriculture","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"CRISPR; Cas9; Genome editing; Biology; Subgenomic mRNA; Multiplex; Computational biology; Genome engineering; Gene; Transcription activator-like effector nuclease; Genome; Genetics","routes":{"ca_aff":true,"ca_fund":false,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004860726,0.0005404613,0.0004784661,0.0001000531,0.0001307883,0.00007043784,0.0007601333,0.0007300783,0.0000656868],"category_scores_gemma":[0.0001832011,0.0005680518,0.0003626621,0.00006050741,0.0001000472,0.000008135355,0.001127382,0.0003313729,0.0001911632],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005848503,"about_ca_system_score_gemma":0.0001588904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000176796,"about_ca_topic_score_gemma":0.00003627727,"domain_scores_codex":[0.9971649,0.0001092878,0.0004987292,0.001465533,0.000217617,0.0005439179],"domain_scores_gemma":[0.9970902,0.00003283223,0.0002085175,0.002129787,0.0003111148,0.0002275319],"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":[0.0002628731,0.0002043602,0.1039685,0.00089576,0.0005671994,0.000009669485,0.0003568746,0.002431581,0.8900667,0.00009271885,0.0001775321,0.00096616],"study_design_scores_gemma":[0.0008512716,0.0001914521,0.06571777,0.0001718592,0.0001730978,0.0000431263,0.0001666404,0.002926793,0.9015375,0.0001067418,0.02724983,0.0008638822],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9690431,0.0004639824,0.02715678,0.00004053842,0.001244771,0.001321245,0.000119053,0.000151384,0.0004591281],"genre_scores_gemma":[0.9951017,0.0001660296,0.001854849,0.0001266629,0.001038442,0.0004054155,0.0004272793,0.0001401286,0.0007394638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03825074,"threshold_uncertainty_score":0.9996771,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09654238614321489,"score_gpt":0.3948646923677713,"score_spread":0.2983223062245565,"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."}}