{"id":"W2389483589","doi":"","title":"Stability Analysis for Elementary Characters of Hybrid Rice by AMMI Model","year":2002,"lang":"en","type":"article","venue":"Zuo wu xue bao","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Ammi; Adaptability; Stability (learning theory); Mathematics; Yield (engineering); Main effect; Grain yield; Interaction; Linear regression; Gene–environment interaction; Statistics; Horticulture; Biology; Genotype; Computer science; Ecology; Genetics; Machine learning","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":[0.0002225404,0.0001003685,0.0002190709,0.00006422401,0.00008276266,0.00002183159,0.0001154235,0.0000241251,0.0007570435],"category_scores_gemma":[0.00002126694,0.00008082464,0.000142913,0.0002014884,0.00003700492,0.0001147029,0.000004196883,0.00005913326,0.00002340561],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004183485,"about_ca_system_score_gemma":0.000008405286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002468427,"about_ca_topic_score_gemma":0.000683571,"domain_scores_codex":[0.9991201,0.00003750658,0.0002218418,0.0002296856,0.0001632411,0.0002275977],"domain_scores_gemma":[0.9994561,0.0001002137,0.00008605319,0.00023509,0.00003382496,0.00008871652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003680815,0.0004212564,0.718345,0.000244404,0.001346069,0.00001623611,0.001380462,0.05082707,0.002637352,0.00002022421,0.04779305,0.1766007],"study_design_scores_gemma":[0.000290284,0.00007776495,0.05195713,0.000003756848,0.0001979208,0.000001540245,0.00006528985,0.9417533,0.002069211,0.00009239611,0.003338016,0.0001534286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9942251,0.0001832149,0.002475401,0.000208483,0.00007051272,0.0001272813,0.0007212096,0.00002192305,0.00196686],"genre_scores_gemma":[0.9973827,0.00007032465,0.001474917,0.0002188837,0.00003254964,2.109697e-7,0.0004493375,0.00000270411,0.0003683726],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8909262,"threshold_uncertainty_score":0.8289095,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02931364038405715,"score_gpt":0.2044416335223243,"score_spread":0.1751279931382672,"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."}}