{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006062749,0.00008486892,0.0001593892,0.00002536766,0.000147955,0.00007637456,0.00008550393,0.00007297354,0.00001492574],"category_scores_gemma":[0.0002476028,0.00003580486,0.00005144213,0.0001876262,0.00006582357,0.00007175199,0.00002353746,0.0001026761,0.000001930535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001195615,"about_ca_system_score_gemma":0.000006413429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003192839,"about_ca_topic_score_gemma":0.000001576194,"domain_scores_codex":[0.9991269,0.00007162247,0.0002550431,0.0001465694,0.0002287723,0.0001710636],"domain_scores_gemma":[0.9990531,0.0005141257,0.0001782282,0.00002677057,0.0001375827,0.00009025889],"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":[0.000164161,0.00003193602,0.007807655,0.00002480229,0.000009233088,0.000001925463,0.00005476884,0.0004633018,0.8752544,0.00003232042,0.0004931492,0.1156624],"study_design_scores_gemma":[0.0004932563,0.001601467,0.9583108,0.00009015355,0.00000899114,0.000009071883,0.00009499874,0.02064248,0.01213057,0.0006060627,0.005858885,0.0001531995],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972615,0.00003365967,0.00006442978,0.002351355,0.00009834403,0.0001220425,0.00003780325,0.00001281289,0.00001809954],"genre_scores_gemma":[0.9985557,0.000268298,0.0006516319,0.0001909598,0.0002107854,0.000004572535,0.00002784427,0.000001207793,0.00008898696],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9505032,"threshold_uncertainty_score":0.146008,"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."}}