{"id":"W4415652593","doi":"10.9734/acri/2025/v25i101589","title":"Harnessing CRISPR Genome Editing for Sustainable Agriculture, Livestock and Food Security","year":2025,"lang":"en","type":"article","venue":"Archives of Current Research International","topic":"CRISPR and Genetic Engineering","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centennial College","funders":"","keywords":"Food security; CRISPR; Genome editing; Sustainability; Livestock; Agriculture; Transformative learning; Population","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":[0.001357893,0.0003330802,0.0004253255,0.0007271338,0.0004531641,0.00200675,0.0004781021,0.0008313963,0.003237243],"category_scores_gemma":[0.001261222,0.000193879,0.000412706,0.0005513413,0.001356222,0.001165337,0.0011157,0.001317205,0.0006579349],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007138522,"about_ca_system_score_gemma":0.001009086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005056759,"about_ca_topic_score_gemma":0.001046257,"domain_scores_codex":[0.9993604,0.0001818994,0.0000577161,0.0001292628,0.0001922824,0.00007849374],"domain_scores_gemma":[0.9993978,0.0002843963,0.0001156502,0.00007106715,0.00007206998,0.00005904532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000153741,0.00006840155,0.001721713,0.003188929,0.0001710791,0.0009871119,0.0007840864,0.003704034,0.3773454,0.1585437,0.009488889,0.4438428],"study_design_scores_gemma":[0.00004595702,0.0004755145,0.002438192,0.001183248,0.0001542205,0.002574455,0.0006777238,0.003783973,0.2146498,0.06039387,0.7135199,0.0001030784],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1449944,0.2311774,0.397387,0.02662702,0.002964434,0.0003679153,0.001197198,0.002255491,0.1930292],"genre_scores_gemma":[0.6053175,0.2393957,0.1269642,0.004148279,0.0007500454,0.0002000099,0.0008130221,0.0002481565,0.02216317],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003237243,"threshold_uncertainty_score":0.01082969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02027341751287979,"score_gpt":0.3853570505444734,"score_spread":0.3650836330315936,"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."}}