{"id":"W4405851924","doi":"10.5376/gab.2024.15.0020","title":"Genome Editing and Rice Improvement: The Role of CRISPR/Cas9 in Developing Superior Yield Traits","year":2024,"lang":"en","type":"article","venue":"Genomics and Applied Biology","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"CRISPR; Genome editing; Yield (engineering); Biology; Genetics; Biotechnology; Computational biology; Gene","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0004583411,0.0005785697,0.0003796302,0.0002695449,0.0002247069,0.0006297541,0.0003257326,0.0004626893,0.0013192],"category_scores_gemma":[0.000345038,0.0001425414,0.0003725857,0.0002399603,0.0003584262,0.0004411583,0.0005016566,0.0008679227,0.0004000018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004884811,"about_ca_system_score_gemma":0.0004831759,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007818826,"about_ca_topic_score_gemma":0.0008668082,"domain_scores_codex":[0.9997278,0.00003878281,0.00002587744,0.000085221,0.00008074828,0.00004149828],"domain_scores_gemma":[0.9998765,0.00002758019,0.00003057015,0.00002345695,0.00002071488,0.00002115123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00007459646,0.0000205224,0.0003756858,0.0001418196,0.00001676543,0.0001219646,0.00002853738,0.0004239505,0.9802979,0.001203604,0.0001649697,0.01712978],"study_design_scores_gemma":[0.00001757534,0.0002718431,0.003086177,0.00002181927,0.00006256006,0.0008718456,0.00002991234,0.004063869,0.9667673,0.0009735512,0.02380763,0.00002583163],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.6534434,0.020036,0.2909997,0.00215944,0.0004233614,0.0003056368,0.001051103,0.002650351,0.0289311],"genre_scores_gemma":[0.9408479,0.00652318,0.04402826,0.0003736519,0.0000420376,0.00004624935,0.0005714009,0.0001782807,0.007389061],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0013192,"threshold_uncertainty_score":0.004413188,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005594737904058873,"score_gpt":0.2494351563650813,"score_spread":0.2438404184610224,"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."}}