{"id":"W4410316033","doi":"10.55627/pbiotech.003.02.1289","title":"Multivariate Analysis of Elite &lt;i&gt;Bt &lt;/i&gt;Cotton Genotypes for Seed Cotton Yield and Fiber Quality Traits Under Semi-Arid Conditions","year":2025,"lang":"en","type":"article","venue":"Integrative plant biotechnology.","topic":"Agricultural Economics and Practices","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Yield (engineering); Agronomy; Arid; Elite; Multivariate statistics; Fiber; Multivariate analysis; Quality (philosophy); Biology; Horticulture; Mathematics; Statistics; Chemistry; Materials science; Political science; Ecology; Physics","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":[0.0002771568,0.0002800251,0.0002647869,0.0003895517,0.0002112638,0.0002471494,0.0001364259,0.00007847657,0.0008513035],"category_scores_gemma":[0.0003568209,0.00007836627,0.0003067129,0.0005656538,0.0001683112,0.0001042947,0.000185219,0.0002552752,0.0001118585],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002628696,"about_ca_system_score_gemma":0.0002014197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005098154,"about_ca_topic_score_gemma":0.007316272,"domain_scores_codex":[0.9997917,0.00004294062,0.0000146607,0.00007152947,0.00003835398,0.00004080958],"domain_scores_gemma":[0.9996216,0.00008343393,0.000101603,0.00003625679,0.00006942795,0.00008750741],"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":[0.001030337,0.0002025115,0.1179792,0.00004014672,0.00008617266,0.0001312762,0.0003845562,0.0005020394,0.8578508,0.00009301949,0.0001050401,0.02159483],"study_design_scores_gemma":[0.000006788792,0.0003473145,0.9825574,0.000001962282,0.00004000881,0.00007637924,0.0002412426,0.002178752,0.01423957,0.00003082476,0.0002657153,0.00001402169],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991822,0.000008307951,0.0005653778,0.000003895756,0.000001299047,0.000003559234,0.0001353684,0.000008665786,0.00009131999],"genre_scores_gemma":[0.9983147,0.00001182542,0.001018837,0.000006315459,0.000001146118,0.00001211132,0.0003511801,0.0000114,0.0002723695],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005098154,"threshold_uncertainty_score":0.01013696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02377597094953924,"score_gpt":0.2705133845039717,"score_spread":0.2467374135544324,"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."}}