{"id":"W4404427765","doi":"10.5376/gab.2024.15.0013","title":"Advancements in Gene Editing Technologies for Mosquito Research","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome editing; Biology; Computational biology; Computer science; Gene; Genetics; CRISPR","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003121901,0.00009001017,0.00009712685,0.00009585544,0.00005590083,0.00002217045,0.0001077604,0.0001536946,0.000001120061],"category_scores_gemma":[0.00002400571,0.0000850409,0.00002098703,0.00008353546,0.00007927702,8.996773e-7,0.0001709559,0.0001016647,0.000002100754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001554791,"about_ca_system_score_gemma":0.00001977656,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000299658,"about_ca_topic_score_gemma":0.00001217793,"domain_scores_codex":[0.9991791,0.000006940506,0.000130728,0.0003604654,0.00002546132,0.0002972583],"domain_scores_gemma":[0.9997951,0.00002448133,0.00001002028,0.0001332838,0.00001687052,0.00002022021],"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":[0.00001865014,0.000006512542,0.00009462041,0.00003413553,0.00001362573,6.048519e-7,0.00002975786,0.0001387762,0.9343088,0.003560903,0.0001944515,0.06159913],"study_design_scores_gemma":[0.0003490545,0.0001688104,0.0001026674,0.0000106351,0.000004378556,0.00000639475,0.0004231077,0.0006885128,0.7673406,0.00653147,0.224215,0.0001593766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9705898,0.009479593,0.01847746,0.0002647493,0.0002540824,0.0003925537,0.00004214904,0.00003423454,0.0004653873],"genre_scores_gemma":[0.9930725,0.001435528,0.004864155,0.00002525448,0.0002806942,0.0001626976,0.00008825724,0.00001651378,0.00005439868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2240205,"threshold_uncertainty_score":0.3467867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01979385932603014,"score_gpt":0.379463701319589,"score_spread":0.3596698419935589,"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."}}