{"id":"W2971621341","doi":"10.9787/kjbs.2019.51.3.175","title":"Gene-Edited Crops: Present Status and their Future","year":2019,"lang":"en","type":"article","venue":"Korean Journal of Breeding Science","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Rural Development Administration; Canadian Food Inspection Agency; U.S. Department of Agriculture","keywords":"Commercialization; Harmonization; Biotechnology; Gene technology; Emerging technologies; Genome editing; Biology; Genetic engineering; Standardization; Plant breeding; Risk analysis (engineering); Business; Computer science; Gene; Marketing; Genome; Agronomy; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00363967,0.0005886623,0.0007806687,0.001163086,0.0005465058,0.003042259,0.001100891,0.002305487,0.008735745],"category_scores_gemma":[0.002540785,0.0002461235,0.0004246271,0.00148607,0.002121303,0.005269764,0.001048605,0.002205831,0.0020531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001139806,"about_ca_system_score_gemma":0.002645257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000948072,"about_ca_topic_score_gemma":0.001324875,"domain_scores_codex":[0.9994885,0.00009154151,0.00006002145,0.0001201612,0.0001572279,0.0000824281],"domain_scores_gemma":[0.9971288,0.001040486,0.0004229651,0.0001044336,0.0006410367,0.0006623436],"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":[0.0003816497,0.0001705113,0.002007141,0.003368114,0.00003501923,0.0003791238,0.0002779847,0.0006269945,0.005007169,0.02383149,0.03310385,0.930811],"study_design_scores_gemma":[0.00003462386,0.0004600824,0.002935474,0.001786017,0.00007373522,0.0011267,0.0007819156,0.0007616719,0.002183654,0.01539522,0.9744011,0.00005978252],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.005433802,0.9593397,0.002598198,0.01699254,0.001028984,0.00001843209,0.0002147371,0.0002045311,0.01416916],"genre_scores_gemma":[0.03731371,0.9432295,0.00573595,0.005603106,0.001167579,0.0000471026,0.0004564734,0.00003679945,0.006409798],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.008735745,"threshold_uncertainty_score":0.02922398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006290272811290644,"score_gpt":0.2628913383676465,"score_spread":0.2566010655563559,"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."}}