{"id":"W4384939927","doi":"10.1093/oso/9780198874522.003.0006","title":"Hijacking genetics","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"CRISPR; Genome editing; Cas9; Biology; Genome; Genetics; Computational biology; Caenorhabditis elegans; DNA; Cloning (programming); Gene; Computer science; Programming language","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003215699,0.0007391523,0.0003186068,0.0007553919,0.001010685,0.002100823,0.000534873,0.001091629,0.03954284],"category_scores_gemma":[0.0005125412,0.0002647227,0.0003297212,0.0003894305,0.002293757,0.002521788,0.00122787,0.003188458,0.02536646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001583709,"about_ca_system_score_gemma":0.0007500998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001559939,"about_ca_topic_score_gemma":0.003647025,"domain_scores_codex":[0.9998313,0.00003038693,0.000005349105,0.00004113015,0.00007451942,0.0000173217],"domain_scores_gemma":[0.9997934,0.0001073999,0.000008363927,0.00002192972,0.00004194329,0.00002703748],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001787411,0.0000177605,0.00009053534,0.0001566251,0.000005622906,0.0001936106,0.0006065556,0.0003994157,0.0016583,0.422685,0.4465425,0.1276262],"study_design_scores_gemma":[8.283272e-7,0.00000369577,0.00003051238,0.00006517744,0.000001017899,0.0001544146,0.00002942867,0.00007276674,0.0001695775,0.02481236,0.9746577,0.000002575572],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001016059,0.03271481,0.01833864,0.0114752,0.004873831,0.00004328636,0.0002381397,0.0008765046,0.9304235],"genre_scores_gemma":[0.007991794,0.01337986,0.007650743,0.004220613,0.0005477852,0.00004256497,0.000136731,0.0003579222,0.965672],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.03954284,"threshold_uncertainty_score":0.1322839,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652383972292843,"score_gpt":0.2875252266678123,"score_spread":0.2710013869448838,"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."}}