{"id":"W3179509384","doi":"10.3390/plants10071423","title":"OMICs, Epigenetics, and Genome Editing Techniques for Food and Nutritional Security","year":2021,"lang":"en","type":"review","venue":"Plants","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Lethbridge","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Higher Education of the Russian Federation; Russian Science Foundation; Grantová Agentura České Republiky; Deutsche Forschungsgemeinschaft","keywords":"Food security; Agriculture; Microbiome; Green Revolution; Biotechnology; Population; Emerging technologies; Biology; Genotyping; Computer science; Risk analysis (engineering); Data science; Natural resource economics; Ecology; Bioinformatics; Business; Environmental health; Artificial intelligence; Genetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001300889,0.001174959,0.001424245,0.002527815,0.0002654059,0.001226675,0.001336558,0.00150159,0.003800083],"category_scores_gemma":[0.001250678,0.0003694567,0.0008696776,0.002134593,0.0008855201,0.001688749,0.001047139,0.002921038,0.002023052],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008468893,"about_ca_system_score_gemma":0.001129617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009487767,"about_ca_topic_score_gemma":0.001658806,"domain_scores_codex":[0.9996334,0.00006902144,0.00004132613,0.00006471523,0.0001493974,0.0000420484],"domain_scores_gemma":[0.9993474,0.0003534509,0.00006898103,0.00003993043,0.0001354265,0.0000547934],"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":[0.00006830391,0.00006661814,0.000203998,0.0115534,0.0001879579,0.0002476959,0.00005156007,0.0004933207,0.006573161,0.0124115,0.02675655,0.9413859],"study_design_scores_gemma":[0.000009833,0.00004898762,0.0006568507,0.001522047,0.0000936092,0.0007541675,0.00003065558,0.0001201043,0.001829907,0.004021429,0.99089,0.00002233659],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001391403,0.995795,0.001261609,0.000487735,0.0005847793,0.00001064009,0.00004331213,0.00002705946,0.001650673],"genre_scores_gemma":[0.0009331894,0.9957687,0.00131177,0.0003758043,0.0002795028,0.00001459129,0.00007824408,0.00000791798,0.001230272],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003800083,"threshold_uncertainty_score":0.0127126,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216062009433898,"score_gpt":0.2783383793858355,"score_spread":0.2461777592914965,"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."}}