{"id":"W3088092039","doi":"10.1038/s41580-020-00288-9","title":"Applications of CRISPR–Cas in agriculture and plant biotechnology","year":2020,"lang":"en","type":"review","venue":"Nature Reviews Molecular Cell Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":835,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institute of Genetics","funders":"","keywords":"CRISPR; Genome editing; Biotechnology; Computational biology; Biology; Gene; Computer science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001211264,0.001399275,0.001755531,0.002557901,0.0003239756,0.001380594,0.001445524,0.001759204,0.005277485],"category_scores_gemma":[0.001131507,0.0004654588,0.0005664849,0.002960597,0.001020457,0.001865736,0.001281851,0.002968628,0.003688431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001192716,"about_ca_system_score_gemma":0.00151907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00136973,"about_ca_topic_score_gemma":0.002481546,"domain_scores_codex":[0.9995729,0.00005802864,0.00003539518,0.00005876964,0.0002279283,0.000046905],"domain_scores_gemma":[0.999317,0.0003802845,0.00005854289,0.00002796015,0.0001435892,0.00007267433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007178129,0.00005264218,0.00005246571,0.008335651,0.00006097719,0.0001099044,0.00002417289,0.0005615979,0.006391696,0.008907232,0.04974944,0.9256825],"study_design_scores_gemma":[0.00001509993,0.00003625583,0.0002046263,0.001023988,0.00004346863,0.0002900249,0.00001597772,0.000104461,0.001063282,0.003276961,0.9939097,0.00001622011],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00006902123,0.9956382,0.0009797291,0.0004486971,0.000537223,0.000006516704,0.00002741796,0.00003226062,0.002260939],"genre_scores_gemma":[0.0005609806,0.9965584,0.0007273422,0.0004039966,0.0003004473,0.000008901772,0.00005955853,0.000005156094,0.001375182],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005277485,"threshold_uncertainty_score":0.01765496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0070462557609037,"score_gpt":0.329453782659948,"score_spread":0.3224075268990443,"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."}}