{"id":"W4412846866","doi":"10.5376/cgg.2024.15.0017","title":"Meta-Analysis of Cotton Germplasm for Biotic Stress Resistance","year":2024,"lang":"en","type":"article","venue":"Cotton Genomics and Genetics","topic":"Research in Cotton Cultivation","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Germplasm; Resistance (ecology); Biotic stress; Stress (linguistics); Biology; Abiotic stress; Ecology; Agronomy; Genetics; Linguistics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.002460402,0.001627043,0.00205653,0.003308228,0.0007801344,0.001902541,0.001259208,0.001035893,0.001963349],"category_scores_gemma":[0.003395599,0.0005643161,0.004073048,0.002739993,0.0002841114,0.0008523839,0.001172028,0.001343938,0.0005748563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000803415,"about_ca_system_score_gemma":0.0008341466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002234335,"about_ca_topic_score_gemma":0.004642126,"domain_scores_codex":[0.9985383,0.0004175338,0.00009117746,0.0005884662,0.0001959835,0.0001686701],"domain_scores_gemma":[0.997698,0.001317117,0.0001769223,0.0003561357,0.0002260505,0.0002256542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.003503902,0.001039382,0.127115,0.002497912,0.03943575,0.0009423814,0.0009175327,0.02480277,0.7331588,0.002024008,0.001553526,0.06300913],"study_design_scores_gemma":[0.0007076988,0.002464746,0.6181883,0.0005322545,0.04959955,0.00145519,0.002767809,0.1765565,0.1137124,0.007005975,0.02648661,0.0005231329],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9657129,0.002830395,0.02056421,0.0001716094,0.0001442263,0.0001024563,0.008150619,0.0007907301,0.001532816],"genre_scores_gemma":[0.967074,0.0006066549,0.02021754,0.0001847391,0.00003387601,0.00007986676,0.01092387,0.000307956,0.0005714991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003308228,"threshold_uncertainty_score":0.01301205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1435255979020722,"score_gpt":0.3133038250270868,"score_spread":0.1697782271250146,"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."}}