{"id":"W4417015590","doi":"10.5376/cgg.2025.16.0030","title":"Precision Breeding of Cotton Using Haplotypes and Genome Editing Tools","year":2025,"lang":"","type":"article","venue":"Cotton Genomics and Genetics","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Genome editing; Haplotype; Genome; Function (biology); Genomics; 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":[0.001101189,0.0003300829,0.0004517635,0.0008974767,0.0003170263,0.000849888,0.0005287731,0.0003043715,0.001361999],"category_scores_gemma":[0.001780884,0.0003204195,0.0003871852,0.001001357,0.0004860158,0.00087524,0.0008686268,0.0007109515,0.0004083601],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003444083,"about_ca_system_score_gemma":0.0003873655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008871209,"about_ca_topic_score_gemma":0.001709717,"domain_scores_codex":[0.9994862,0.0001072123,0.00004122695,0.0001842612,0.0001389005,0.00004212122],"domain_scores_gemma":[0.9988109,0.0004829972,0.0002808933,0.0002862586,0.00008096001,0.00005805711],"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":[0.0003053457,0.00007448202,0.0072458,0.0005670429,0.0001222718,0.0005874056,0.000437051,0.02215005,0.6354948,0.02745607,0.001387112,0.3041725],"study_design_scores_gemma":[0.0001609555,0.0009848188,0.02405827,0.0002959829,0.0003481755,0.002365043,0.0004733213,0.1751556,0.6229675,0.06403816,0.1088458,0.0003064272],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1792912,0.001534839,0.8081478,0.0003305745,0.0001397106,0.0001559965,0.001752415,0.003620422,0.005027014],"genre_scores_gemma":[0.4575553,0.001968863,0.5345932,0.0001681339,0.00006459497,0.0001591172,0.002226148,0.0005489318,0.002715618],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001361999,"threshold_uncertainty_score":0.005823731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06833589458025273,"score_gpt":0.3028421428268465,"score_spread":0.2345062482465938,"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."}}