{"id":"W2372788685","doi":"","title":"Application of AMMI Model on Regional Trial of Maize Varieties","year":2008,"lang":"en","type":"article","venue":"Seed","topic":"Agriculture, Soil, Plant Science","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Ammi; Mathematics; Agronomy; Biology; Gene–environment interaction; Genetics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116707,0.0004037998,0.0007222376,0.0003027621,0.0002684155,0.0004367226,0.00105808,0.0004582009,0.003568089],"category_scores_gemma":[0.003660754,0.000130947,0.0007125349,0.0004756543,0.0001633971,0.0004187536,0.0002986689,0.0005364604,0.0003384244],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004945323,"about_ca_system_score_gemma":0.0004037363,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004136768,"about_ca_topic_score_gemma":0.004916019,"domain_scores_codex":[0.9994459,0.0002975581,0.00001660797,0.0001409616,0.0000504994,0.00004859616],"domain_scores_gemma":[0.9970036,0.002212854,0.0001485424,0.0002297336,0.0003303938,0.0000748248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.004156204,0.0005693095,0.03534911,0.0002994239,0.0006133033,0.0003828226,0.0002078344,0.8369191,0.02235745,0.008343147,0.006095888,0.08470638],"study_design_scores_gemma":[0.00008167564,0.0004001766,0.009415354,0.000005880669,0.0001166902,0.0000515226,0.00006069555,0.9819932,0.005261029,0.001919501,0.0006777807,0.00001649882],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8947402,0.0002030251,0.09711897,0.0002266828,0.00007048015,0.00008207127,0.001082758,0.0006868841,0.005788946],"genre_scores_gemma":[0.9789928,0.00002847276,0.01665646,0.00003231955,0.0000104009,0.0000712886,0.0007327555,0.00009039948,0.003385311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004136768,"threshold_uncertainty_score":0.01193643,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0338786590000636,"score_gpt":0.2103406623968144,"score_spread":0.1764620033967508,"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."}}