{"id":"W2801424073","doi":"10.3389/fpls.2018.00617","title":"Application of CRISPR/Cas9 Genome Editing Technology for the Improvement of Crops Cultivated in Tropical Climates: Recent Progress, Prospects, and Challenges","year":2018,"lang":"en","type":"review","venue":"Frontiers in Plant Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":231,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saskatchewan Research Council (Canada)","funders":"Krishi Gobeshona Foundation; West Virginia University; World Bank Group","keywords":"CRISPR; Genome editing; Transcription activator-like effector nuclease; Biology; Cas9; Biotechnology; Genome; Population; Zinc finger nuclease; Computational biology; Genetics; Gene; Medicine","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":[0.0007040942,0.0005511785,0.0008220761,0.0007643524,0.0002825274,0.0009481764,0.0005260326,0.0007660989,0.001482664],"category_scores_gemma":[0.0005287344,0.0002053884,0.0005419778,0.0008636297,0.0005133342,0.001035396,0.0004384379,0.001215611,0.0005631346],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004862675,"about_ca_system_score_gemma":0.0008020385,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007740341,"about_ca_topic_score_gemma":0.001154111,"domain_scores_codex":[0.9996312,0.00005522045,0.00004110047,0.00009057202,0.000139386,0.00004251483],"domain_scores_gemma":[0.9996483,0.0001675704,0.00005895106,0.00001255105,0.00007931024,0.0000332052],"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":[0.000169729,0.00008750078,0.001350688,0.01924603,0.0001734873,0.001143742,0.0002610886,0.001809218,0.2067415,0.01005521,0.01859185,0.74037],"study_design_scores_gemma":[0.00002897847,0.0005049541,0.003870407,0.001509171,0.0003581414,0.003507952,0.0002658515,0.002390587,0.08619738,0.005782474,0.8954698,0.0001143649],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.008883004,0.9700116,0.01157814,0.001937362,0.0006626,0.00003375248,0.0001530227,0.0002250312,0.006515545],"genre_scores_gemma":[0.02810043,0.9599245,0.007968669,0.0007275313,0.000246225,0.00002513896,0.0002686562,0.0000292488,0.002709707],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.001482664,"threshold_uncertainty_score":0.004960001,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01706400837666799,"score_gpt":0.3147818511096035,"score_spread":0.2977178427329356,"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."}}