{"id":"W4221010294","doi":"10.3389/fgeed.2022.863193","title":"Contributions of Genome Editing Technologies Towards Improved Nutrition, Environmental Sustainability and Poverty Reduction","year":2022,"lang":"en","type":"review","venue":"Frontiers in Genome Editing","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":35,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sustainability; Food security; Poverty; Agriculture; Sustainable development; Natural resource economics; Sustainable agriculture; Genome editing; Production (economics); Agricultural productivity; Emerging technologies; Business; Biotechnology; Economic growth; Environmental planning; Agricultural economics; Environmental economics; Economics; Geography; Biology; CRISPR; Computer science; Ecology","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":[0.0009081071,0.0009224355,0.0009366241,0.001830267,0.0002643064,0.001116414,0.0008545218,0.001420745,0.003041896],"category_scores_gemma":[0.00112414,0.0002491489,0.0006449349,0.001369101,0.0006261727,0.001193241,0.0006641152,0.002017254,0.00127478],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006221422,"about_ca_system_score_gemma":0.0008849739,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005959385,"about_ca_topic_score_gemma":0.0009569433,"domain_scores_codex":[0.9996217,0.00006308533,0.0000343423,0.00008017475,0.0001536071,0.00004699586],"domain_scores_gemma":[0.9994294,0.0003826696,0.00005667924,0.00001689434,0.00007986632,0.00003443647],"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":[0.00005824053,0.00005710507,0.0002010927,0.0181935,0.0001177103,0.0003970381,0.00009627988,0.0006978178,0.01296084,0.01425002,0.01805999,0.9349103],"study_design_scores_gemma":[0.00001050729,0.0001060896,0.00046032,0.00185271,0.0001164966,0.001405913,0.00005013976,0.0001533501,0.005457596,0.003540469,0.9868196,0.00002675814],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003534984,0.9940633,0.001213319,0.0005353358,0.000413918,0.00001030196,0.00003783069,0.00003280674,0.003339664],"genre_scores_gemma":[0.002089797,0.9955953,0.0008375324,0.0002833153,0.0001756138,0.000009408641,0.0000512638,0.000005643858,0.0009521064],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003041896,"threshold_uncertainty_score":0.01017612,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00563715556774878,"score_gpt":0.2685998629464147,"score_spread":0.2629627073786659,"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."}}