{"id":"W4323075787","doi":"10.54910/sabrao2023.55.1.7","title":"COTTON GENOTYPES APPRAISAL FOR MORPHO-PHYSIOLOGICAL AND YIELD CONTRIBUTING TRAITS UNDER OPTIMAL AND DEFICIT IRRIGATED CONDITIONS","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":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics","keywords":"Biology; Cultivar; Irrigation; Agronomy; Drought tolerance; Crop; Chlorophyll; Crop yield; Fiber crop; Proline; Yield (engineering); Horticulture; Malvaceae","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":[0.0001442457,0.0002609573,0.0001510362,0.0003206848,0.0002346612,0.0001863871,0.00009339123,0.00008952964,0.0005029654],"category_scores_gemma":[0.0001371367,0.00007776744,0.0001977661,0.0003055717,0.0001158837,0.0001256419,0.0001655713,0.0001648572,0.00007231348],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003244006,"about_ca_system_score_gemma":0.0002686608,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006571355,"about_ca_topic_score_gemma":0.02145555,"domain_scores_codex":[0.9999033,0.00001126032,0.00001240768,0.00003086559,0.00001652713,0.00002555972],"domain_scores_gemma":[0.999871,0.000009887061,0.00004996792,0.00001004408,0.00002809297,0.00003095606],"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":[0.0006145165,0.00007575417,0.1533777,0.00008099914,0.00006869942,0.0004538626,0.0006023977,0.0002642747,0.8310794,0.0000859618,0.0001362231,0.01316027],"study_design_scores_gemma":[0.000003300536,0.0001081346,0.9920599,0.000003315961,0.00002260945,0.0001417817,0.000266306,0.0001737042,0.006718511,0.00002060006,0.0004753477,0.000006473281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995701,0.0000420428,0.00008902499,0.000004707356,0.000001534004,0.000003288484,0.000137731,0.000004383853,0.0001471297],"genre_scores_gemma":[0.9987784,0.00004791358,0.0003053561,0.0000100416,0.000001050115,0.000009191173,0.0003337516,0.00000431637,0.0005099209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006571355,"threshold_uncertainty_score":0.01306623,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08916520232089156,"score_gpt":0.3232172477811154,"score_spread":0.2340520454602239,"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."}}