{"id":"W4406597616","doi":"10.9734/jeai/2025/v47i13230","title":"Correlation Studies in Early Clonal Generation under Water Logging Condition in Sugarcane for Yield and Its Attributing Traits","year":2025,"lang":"en","type":"article","venue":"Journal of Experimental Agriculture International","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Institute of Genetics; Central Agricultural University, Imphal","keywords":"Yield (engineering); Logging; Correlation; Biology; Agronomy; Biotechnology; Mathematics; Ecology; Materials 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":[0.0002527353,0.00009179066,0.0001391338,0.00005008019,0.00008600209,0.00005767835,0.00007811211,0.00006923099,0.0000480064],"category_scores_gemma":[0.00008663534,0.00003619724,0.00004621096,0.0001125853,0.00001919201,0.0003538322,0.00002623172,0.0001230367,5.383318e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001491827,"about_ca_system_score_gemma":0.000008291338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001416008,"about_ca_topic_score_gemma":0.0001068414,"domain_scores_codex":[0.9991858,0.00002881735,0.0003833623,0.0001260033,0.0001611218,0.0001148681],"domain_scores_gemma":[0.9994693,0.0001488205,0.0001406089,0.00000657391,0.0002109662,0.00002375068],"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":[0.00006987502,0.00008223539,0.00782348,0.000005936623,0.00002731758,0.000003010361,0.0008186752,0.0003268533,0.988471,0.0009761333,0.0003179857,0.001077512],"study_design_scores_gemma":[0.001562289,0.0002638184,0.3717907,0.0004957752,0.0000140893,0.00006936493,0.007988432,0.001930329,0.6135134,0.0009462648,0.001204368,0.0002211364],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9958296,0.001095539,0.00007166495,0.00229288,0.0004486496,0.0001371721,0.000008744651,0.000004932948,0.0001108319],"genre_scores_gemma":[0.9990562,0.00003088059,0.00006689034,0.0002909374,0.0003321576,0.00001333659,0.00007301483,5.998367e-7,0.0001359567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3749576,"threshold_uncertainty_score":0.1476081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07907600227276339,"score_gpt":0.3354924122532719,"score_spread":0.2564164099805085,"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."}}