{"id":"W4396816546","doi":"10.1016/b978-0-443-21625-1.00027-0","title":"Genome editing as a promising tool to dissect the stress biology","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba; Agriculture and Agri-Food Canada","funders":"","keywords":"Biology; Computational biology; Genome editing; Genome; Genetics; Evolutionary biology; Gene","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":[0.0002048447,0.0007131535,0.0004500588,0.0005243299,0.0002719751,0.001399085,0.0005573637,0.0008306298,0.01015933],"category_scores_gemma":[0.0000824315,0.000283885,0.0002866988,0.000460404,0.0005004613,0.001177718,0.0004951889,0.001809953,0.005289559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004080877,"about_ca_system_score_gemma":0.0002892808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004064677,"about_ca_topic_score_gemma":0.0006837783,"domain_scores_codex":[0.9999282,0.000005184242,0.000003317902,0.00001957737,0.00003534916,0.00000823426],"domain_scores_gemma":[0.9999567,0.00001932155,0.000004589542,0.000005767004,0.000005617558,0.000007928823],"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":[0.00007111418,0.00006502923,0.00008930195,0.0005893434,0.00001657652,0.0003168799,0.0001068796,0.001004203,0.5708538,0.07074834,0.02020121,0.3359372],"study_design_scores_gemma":[0.00001112393,0.00009522116,0.0004519478,0.0001099425,0.00002519243,0.0008018935,0.00004994038,0.0009071439,0.1117388,0.02541161,0.8603715,0.00002577825],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.02712593,0.1965133,0.267259,0.005547068,0.00441887,0.0001203012,0.001270705,0.003303918,0.4944409],"genre_scores_gemma":[0.08954557,0.1802832,0.114035,0.00258487,0.0008730796,0.0001754657,0.001576189,0.00093619,0.6099905],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01015933,"threshold_uncertainty_score":0.03398639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007271865742487896,"score_gpt":0.2780508240857786,"score_spread":0.2707789583432907,"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."}}