{"id":"W4404828221","doi":"10.3390/genes15121533","title":"Genetic Diversity and Subspecific Races of Upland Cotton (Gossypium hirsutum L.)","year":2024,"lang":"en","type":"article","venue":"Genes","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Phylogenetic tree; Biology; Subspecies; Genetic diversity; Gossypium hirsutum; Race (biology); Cultivar; Allele; Genetics; Evolutionary biology; Botany; Zoology; Population; Gene; Demography","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001444417,0.00006117877,0.00007813395,0.00001316107,0.0002154137,0.00004985931,0.0001140445,0.00004240115,0.0001949326],"category_scores_gemma":[0.00001922203,0.0000228754,0.0000293481,0.0001834841,0.0000789374,0.00008316858,0.0002358639,0.00004546047,0.00001409164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009181386,"about_ca_system_score_gemma":0.000004106299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002137763,"about_ca_topic_score_gemma":0.000139352,"domain_scores_codex":[0.9993691,0.00003720481,0.00009178191,0.0001826895,0.000192893,0.0001262672],"domain_scores_gemma":[0.9997046,0.0001532074,0.00002040727,0.00003085918,0.00004337414,0.0000475637],"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":[0.00002440723,0.00002203261,0.2747062,0.00005896759,0.0000187638,0.00001171728,0.000353566,0.000005543658,0.5378945,0.0002317738,0.002118534,0.1845539],"study_design_scores_gemma":[0.0000470148,0.000108297,0.9454032,0.00002254698,0.000006578776,0.000006006927,0.0002003916,0.0002914843,0.02015571,0.0006215352,0.03305233,0.00008489193],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942012,0.004685196,0.000005670437,0.0005311212,0.000146511,0.00009282994,0.00002327894,0.00003479178,0.0002793945],"genre_scores_gemma":[0.9982179,0.001088585,0.00006459485,0.000009466905,0.0001698673,0.000002693022,0.0000089992,4.487447e-7,0.000437419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.670697,"threshold_uncertainty_score":0.2134376,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04665839149766451,"score_gpt":0.2465669995839689,"score_spread":0.1999086080863044,"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."}}