{"id":"W2974281126","doi":"10.1007/978-1-4939-9865-4_14","title":"Emerging Genome Engineering Tools in Crop Research and Breeding","year":2019,"lang":"en","type":"book-chapter","venue":"Methods in molecular biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Lethbridge; Agriculture and Agri-Food Canada","funders":"","keywords":"Genome editing; Transcription activator-like effector nuclease; Biology; CRISPR; Zinc finger nuclease; Genome engineering; Genome; Epigenome; Biotechnology; Computational biology; Cas9; Genetics; Gene; DNA methylation; Gene expression","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":[0.00186949,0.0003754502,0.0005141629,0.0006305181,0.00002806693,0.00003112414,0.0003243304,0.0008631715,0.00002851608],"category_scores_gemma":[0.0003266014,0.0004258107,0.00009542148,0.0001049263,0.0001190654,0.00000279565,0.0005666718,0.0008108382,0.000006219598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005960656,"about_ca_system_score_gemma":0.00007033485,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000173451,"about_ca_topic_score_gemma":0.00001869791,"domain_scores_codex":[0.9978156,0.0001506926,0.0004560435,0.0008597557,0.0001160174,0.000601871],"domain_scores_gemma":[0.9991267,0.0001251263,0.00006472503,0.0005294906,0.00007248372,0.00008145164],"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":[0.00001953987,0.000007801264,0.0001673501,0.00009190476,0.00004654184,0.00003814124,0.00003999433,0.00145146,0.9803024,0.008424511,0.000007916689,0.009402442],"study_design_scores_gemma":[0.002296518,0.001765956,0.001287624,0.0006758658,0.00005633089,0.0001996264,0.00009127003,0.002322515,0.3702103,0.01251889,0.6057134,0.002861741],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01989211,0.04095118,0.8791666,0.0001473796,0.0007869975,0.001155167,0.00004388987,0.00003682973,0.05781983],"genre_scores_gemma":[0.02997497,0.006458095,0.904637,0.0002729854,0.0008619006,0.0001474398,0.0005305341,0.0005882844,0.05652874],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.6100921,"threshold_uncertainty_score":0.9998194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04870684557916598,"score_gpt":0.4472430735813138,"score_spread":0.3985362280021478,"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."}}