{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004486831,0.0003212457,0.0007489641,0.0002347094,0.0001496549,0.00001894963,0.0002493688,0.0003767363,0.00001367994],"category_scores_gemma":[0.0003823395,0.0003536971,0.000209052,0.0002046056,0.0001737962,0.00000844818,0.0004163248,0.0004290117,1.416632e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004459689,"about_ca_system_score_gemma":0.0001356686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001229657,"about_ca_topic_score_gemma":8.780286e-7,"domain_scores_codex":[0.9981707,0.00008730576,0.0006280883,0.0005802215,0.0001399865,0.0003936603],"domain_scores_gemma":[0.9992288,0.00001514291,0.0003147892,0.0003566835,0.00003677213,0.00004778597],"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":[0.00002442969,0.0002280942,0.0001145958,0.01226282,0.0003378945,0.00001066649,0.0001922264,0.0001886705,0.01094696,0.00001123786,0.0009152968,0.9747671],"study_design_scores_gemma":[0.000349455,0.0001439313,0.00003874528,0.0002418664,0.0001526819,0.00005237909,0.004721749,0.00005752326,0.0007625654,0.0001151177,0.9929891,0.0003748415],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0004716957,0.9887882,0.007889691,0.00004040002,0.001107276,0.0009268495,0.0007072928,0.00003386045,0.00003474435],"genre_scores_gemma":[0.006345212,0.9882686,0.002291413,0.000003496248,0.0009868656,0.000350222,0.001670305,0.00004449741,0.00003941796],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9920738,"threshold_uncertainty_score":0.9998915,"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."}}