{"id":"W4386491872","doi":"10.2135/cropsci2002.2100a","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":88,"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":[0.003651029,0.000899168,0.0008079142,0.003632601,0.0005189708,0.00139854,0.0004926461,0.0002330381,0.006875154],"category_scores_gemma":[0.01320561,0.0002560792,0.0005241123,0.0036031,0.0002622583,0.0007534763,0.0005963905,0.001011865,0.00256692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004713889,"about_ca_system_score_gemma":0.0005965778,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001781158,"about_ca_topic_score_gemma":0.001838139,"domain_scores_codex":[0.9969673,0.001079069,0.0002979086,0.0006107942,0.0008608761,0.0001839925],"domain_scores_gemma":[0.9893094,0.005342168,0.0008848262,0.001367869,0.002847082,0.0002486217],"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":[0.00296323,0.0006898618,0.02972017,0.001348815,0.0006123958,0.000537995,0.001465401,0.01668228,0.0562022,0.01049326,0.04223178,0.8370527],"study_design_scores_gemma":[0.0003900205,0.001637203,0.2779263,0.0003002434,0.0002661817,0.001366048,0.001444771,0.4493052,0.07363921,0.03505611,0.1581908,0.0004778962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.09521427,0.0004726173,0.8576431,0.0002604451,0.0002569821,0.0004937489,0.02561927,0.01662705,0.003412483],"genre_scores_gemma":[0.3313591,0.0003134222,0.62589,0.00010487,0.00008087985,0.001143167,0.03574759,0.002265589,0.003095279],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006875154,"threshold_uncertainty_score":0.0229997,"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."}}