{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009604312,0.0003151333,0.0004715706,0.0001021027,0.0005676913,0.0004492903,0.0003406713,0.0003183945,0.00005524334],"category_scores_gemma":[0.0003661324,0.0001936882,0.00008937348,0.0005110095,0.0004554726,0.0001768703,0.0007517357,0.0002644631,0.000001962581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001024693,"about_ca_system_score_gemma":0.00008617416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000133843,"about_ca_topic_score_gemma":0.00004907648,"domain_scores_codex":[0.9975531,0.000143353,0.0007751523,0.0006743227,0.0003394723,0.0005146356],"domain_scores_gemma":[0.9983158,0.000598287,0.0003522327,0.0001562033,0.0003832641,0.000194179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00005339226,0.00004594756,0.01035787,0.0001428764,0.00004713475,0.000001102086,0.0003731147,0.0002936427,0.8011307,0.0004928319,0.00004337821,0.187018],"study_design_scores_gemma":[0.00176387,0.002347323,0.6566553,0.001252469,0.0003607058,0.00003271024,0.005088295,0.1124809,0.1406831,0.008881694,0.06903376,0.001419898],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.98141,0.01573551,0.0004269936,0.0006620415,0.0004733178,0.0006193341,0.00012365,0.0000140994,0.0005350295],"genre_scores_gemma":[0.9795792,0.01675985,0.002672205,0.00009352399,0.0004822314,0.000005009887,0.00003138935,0.000006170656,0.0003704821],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6604475,"threshold_uncertainty_score":0.7898374,"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."}}