{"id":"W4386476752","doi":"10.54910/sabrao2023.55.4.6","title":"COTTON GERMPLASM CHARACTERIZATION FOR DROUGHT TOLERANCE BASED ON MORPHO-PHYSIOLOGICAL AND FIBER QUALITY PARAMETERS","year":2023,"lang":"en","type":"article","venue":"SABRAO Journal of Breeding and Genetics","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Germplasm; Ammi; Biplot; Drought tolerance; Biology; Cultivar; Morpho; Agronomy; Irrigation; Trait; Breed; Biotechnology; Genotype; Gene–environment interaction; Botany; Animal science","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005105732,0.0003822176,0.0002578404,0.001272346,0.0003355798,0.0003208937,0.0001849381,0.0001577523,0.0009813238],"category_scores_gemma":[0.000419799,0.00009714949,0.0002877438,0.0007756356,0.0001841637,0.0002206011,0.0002478872,0.0002475083,0.0002395955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948196,"about_ca_system_score_gemma":0.0001804862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001298063,"about_ca_topic_score_gemma":0.003593608,"domain_scores_codex":[0.999657,0.00005018203,0.00005261947,0.0001318337,0.0000718353,0.00003647883],"domain_scores_gemma":[0.9995456,0.0000584418,0.0001937815,0.00005110537,0.00008879439,0.00006226202],"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":[0.0006850919,0.0002892242,0.1397827,0.000177029,0.0001030281,0.0002267118,0.0006946096,0.0001663993,0.8318061,0.0001366089,0.0001720525,0.02576046],"study_design_scores_gemma":[0.000007918606,0.0005919854,0.9779075,0.00001088951,0.00006382777,0.0002537711,0.0002448426,0.0002396073,0.01926614,0.00004394921,0.001356837,0.00001268192],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963998,0.0001678845,0.001867023,0.000009287885,0.000006150004,0.00006525331,0.0008840135,0.00002800452,0.0005725395],"genre_scores_gemma":[0.9865159,0.0001612789,0.008629398,0.0000327682,0.000006513866,0.0001622202,0.00343444,0.00004006074,0.001017489],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001298063,"threshold_uncertainty_score":0.003282905,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096228860479543,"score_gpt":0.3217681939121823,"score_spread":0.212145307864228,"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."}}