{"id":"W2075900076","doi":"10.1094/pdis.2002.86.12.1396","title":"Biplot Analysis of Host-by-Pathogen Data","year":2002,"lang":"en","type":"article","venue":"Plant Disease","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Genotype; Biology; Host (biology); Pathogen; Strain (injury); Virulence; Genetics; Computational biology; 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":[0.003342573,0.001131421,0.00113719,0.005142326,0.0005682267,0.001818613,0.0004431078,0.0002824496,0.009949948],"category_scores_gemma":[0.01271127,0.000280851,0.0006944272,0.005871612,0.0003843201,0.0008490304,0.000779264,0.001217583,0.002756727],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005776304,"about_ca_system_score_gemma":0.0006084791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002286192,"about_ca_topic_score_gemma":0.001819886,"domain_scores_codex":[0.9966121,0.001148914,0.0002857797,0.0006243265,0.001085621,0.0002432086],"domain_scores_gemma":[0.9906307,0.004229194,0.0009347388,0.001320792,0.002593497,0.00029112],"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":[0.00420617,0.0008019012,0.04125962,0.001677216,0.00102603,0.0009846825,0.001858623,0.01748772,0.1058338,0.01148684,0.06978142,0.7435961],"study_design_scores_gemma":[0.000340995,0.00212882,0.4227357,0.0002955453,0.0003052471,0.001956983,0.001959369,0.3118192,0.06855886,0.03839872,0.1508953,0.0006052942],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2139998,0.0009693984,0.7087302,0.0007328657,0.0006316884,0.0007132543,0.03907142,0.02598288,0.009168588],"genre_scores_gemma":[0.5132097,0.0005350847,0.4372606,0.0001776765,0.0001527147,0.001266535,0.03885857,0.003232879,0.005306229],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009949948,"threshold_uncertainty_score":0.03328592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09163184583397688,"score_gpt":0.2085655061024696,"score_spread":0.1169336602684927,"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."}}