{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003223469,0.00004131036,0.00009005087,0.00003189427,0.000153299,0.00005590773,0.0009368127,0.00001578467,0.0006573154],"category_scores_gemma":[0.00007133208,0.00001432073,0.00002740751,0.002165545,0.0001964973,0.0001045717,0.0002180928,0.00002555922,0.00001912398],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003349866,"about_ca_system_score_gemma":0.000002964973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001256799,"about_ca_topic_score_gemma":0.0002443314,"domain_scores_codex":[0.9992528,0.000007539958,0.0001002061,0.0002429665,0.0002415544,0.0001549587],"domain_scores_gemma":[0.9996731,0.00005345128,0.00004620498,0.0001183501,0.00004691898,0.00006197263],"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":[0.000001118922,0.0000418623,0.03848453,0.000001149272,0.00001933579,0.000001190914,0.00008310027,0.0001131735,0.8706455,0.0002220063,0.0007046846,0.08968239],"study_design_scores_gemma":[0.00003282653,0.00007480121,0.8926191,0.000004957088,0.00009585483,0.000001601426,0.00007758158,0.08281593,0.004126687,0.00005728564,0.01995142,0.0001419872],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963704,0.0002008157,0.000007914595,0.0002691295,0.0000601284,0.00002449807,0.00009560303,0.00000987889,0.002961578],"genre_scores_gemma":[0.9995371,0.0000933054,0.0001391106,0.00004387102,0.00003506078,3.066247e-7,0.00001778399,1.089628e-7,0.0001333909],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8665188,"threshold_uncertainty_score":0.7197143,"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."}}