{"id":"W4401053682","doi":"10.1007/978-3-031-63917-3_2","title":"What Is Gene Editing?","year":2024,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in environmental science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Computational biology; Biology; 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":[0.0002217311,0.0002815124,0.0001568197,0.0001130731,0.00006336369,0.0001126051,0.0004186366,0.0002007878,0.000230962],"category_scores_gemma":[0.000005231331,0.0003048419,0.0000979183,0.00004009237,0.0005194723,0.00001344226,0.0006252052,0.0002388457,0.0002092032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001253719,"about_ca_system_score_gemma":0.00003709717,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004257568,"about_ca_topic_score_gemma":0.000008321566,"domain_scores_codex":[0.9981935,0.000002069754,0.0002268717,0.0008374709,0.0003823497,0.0003577164],"domain_scores_gemma":[0.9993548,0.000003334997,0.00004803936,0.0004717453,0.000004071306,0.0001180146],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000008987225,0.00002677773,0.0002330528,0.00005507897,0.00003266699,0.00006787283,0.0002182052,0.0003598215,0.9809147,0.001507774,0.0005995251,0.01597557],"study_design_scores_gemma":[0.0001497833,0.00009738741,0.0006319844,0.0002220619,0.00002086498,0.00004300797,0.0000589942,0.0001094334,0.4611996,0.001134481,0.5357445,0.000587876],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2331008,0.1064318,0.0008622067,0.0008332232,0.01342411,0.001479507,0.000268333,0.000131581,0.6434685],"genre_scores_gemma":[0.5678461,0.01299982,0.0007608395,0.0004957448,0.001223735,0.00002007045,0.00005938176,0.0001236136,0.4164707],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.535145,"threshold_uncertainty_score":0.9999404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004828649772721672,"score_gpt":0.2434847142358091,"score_spread":0.2386560644630875,"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."}}