{"id":"W2048043112","doi":"10.2135/cropsci2004.0076","title":"An Integrated Biplot Analysis System for Displaying, Interpreting, and Exploring Genotype × Environment Interaction","year":2005,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":313,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Biplot; Trait; Covariate; Biology; Gene–environment interaction; Quantitative trait locus; Hordeum vulgare; Selection (genetic algorithm); Statistics; Genotype; Biotechnology; Genetics; Mathematics; Agronomy; Computer science; Artificial intelligence; Poaceae","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":[0.006154529,0.002525631,0.002588174,0.004602115,0.0009228768,0.002511051,0.001507588,0.0006154384,0.04946528],"category_scores_gemma":[0.008659498,0.001335138,0.001749,0.004553617,0.0004107585,0.001875939,0.00166061,0.00265336,0.01192528],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007941024,"about_ca_system_score_gemma":0.001395155,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002379212,"about_ca_topic_score_gemma":0.002862708,"domain_scores_codex":[0.9974977,0.0007950094,0.0003707981,0.0005652416,0.0006209842,0.0001502749],"domain_scores_gemma":[0.9925622,0.003600936,0.0007107711,0.001296685,0.001583286,0.0002461091],"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":[0.003941366,0.0008061095,0.0103865,0.00285879,0.001303743,0.0005608349,0.001423229,0.007731407,0.05536977,0.01394044,0.2448064,0.6568714],"study_design_scores_gemma":[0.001443469,0.00187244,0.06692513,0.0008392244,0.0008035579,0.001162343,0.0007606696,0.2760605,0.1036936,0.04690516,0.4983433,0.001190652],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00656127,0.0003010943,0.7649059,0.0001104163,0.0002982503,0.0007024283,0.02766101,0.1959297,0.003529992],"genre_scores_gemma":[0.03204055,0.0002750793,0.9160618,0.0002296794,0.0001174182,0.00436009,0.02307622,0.01987719,0.003961959],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04946528,"threshold_uncertainty_score":0.1654779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04603363339320681,"score_gpt":0.2415906852011062,"score_spread":0.1955570518078994,"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."}}