{"id":"W4242569367","doi":"10.2135/cropsci2002.6190","title":"Biplots of Linear‐Bilinear Models for Studying Crossover Genotype × Environment Interaction","year":2002,"lang":"en","type":"article","venue":"Crop Science","topic":"Genetics and Plant Breeding","field":"Agricultural and Biological Sciences","cited_by":86,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Biplot; Cultivar; Multiplicative function; Biology; Mathematics; Bilinear interpolation; Statistics; Botany; Genotype; Genetics","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":[0.007161083,0.002300707,0.001664661,0.003537671,0.0006814185,0.001549657,0.001615903,0.0007167008,0.01730592],"category_scores_gemma":[0.02017536,0.0008652416,0.002548963,0.005083239,0.0006502257,0.00120991,0.001746976,0.003011914,0.003030757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001240444,"about_ca_system_score_gemma":0.001221444,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005778781,"about_ca_topic_score_gemma":0.005376501,"domain_scores_codex":[0.9918371,0.00558822,0.0003110196,0.000970813,0.0009748944,0.0003180681],"domain_scores_gemma":[0.9836637,0.01165326,0.001075594,0.001928617,0.001374282,0.0003044571],"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":[0.00599287,0.002354782,0.02074645,0.003044257,0.001816135,0.0005976826,0.002944646,0.2562334,0.06700719,0.06633103,0.03985562,0.533076],"study_design_scores_gemma":[0.0003319821,0.001479506,0.0435173,0.0001589717,0.0002167054,0.0002897895,0.0005392972,0.8684374,0.01245258,0.03909088,0.03311329,0.0003722183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03501888,0.0001728516,0.9525522,0.000113076,0.0001409277,0.0004288103,0.003905461,0.005442694,0.002225129],"genre_scores_gemma":[0.2741074,0.0002827122,0.7015427,0.0001849204,0.00006986063,0.003581743,0.00991075,0.003800471,0.006519283],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01730592,"threshold_uncertainty_score":0.05789405,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1270588314383579,"score_gpt":0.2507497424297656,"score_spread":0.1236909109914077,"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."}}