{"id":"W1972485935","doi":"10.2135/cropsci2002.0021","title":"Biplot Analysis of Diallel Data","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":189,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Diallel cross; Biology; Genotype; Biotechnology; Principal component analysis; Hybrid; Statistics; Genetics; Mathematics; Agronomy; Gene","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008002847,0.002000175,0.002803069,0.004582565,0.00107356,0.002228851,0.001528178,0.0006909085,0.07321809],"category_scores_gemma":[0.02045407,0.0006776759,0.001533814,0.004300405,0.0005449252,0.001338515,0.001342521,0.003193805,0.01314531],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007483638,"about_ca_system_score_gemma":0.001039043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002431225,"about_ca_topic_score_gemma":0.001993747,"domain_scores_codex":[0.9886424,0.003825463,0.001076476,0.003662053,0.001967938,0.0008255961],"domain_scores_gemma":[0.9813241,0.01253868,0.0008178058,0.002209968,0.002657581,0.0004518207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.01397642,0.004019118,0.04139312,0.00465666,0.0037695,0.001372466,0.004440914,0.01053154,0.07433518,0.01033622,0.1777311,0.6534378],"study_design_scores_gemma":[0.001508747,0.009153197,0.2965532,0.0009251804,0.001409263,0.001749778,0.003115901,0.20253,0.06978507,0.01662337,0.3957952,0.0008510555],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2175574,0.000711343,0.4292755,0.0007497175,0.002420838,0.003584071,0.207154,0.1073603,0.03118669],"genre_scores_gemma":[0.4278475,0.0003140544,0.4472986,0.000400203,0.0002358088,0.01274343,0.07836723,0.01559702,0.01719615],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07321809,"threshold_uncertainty_score":0.2449389,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1787816733524466,"score_gpt":0.2521679827196531,"score_spread":0.07338630936720655,"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."}}