{"id":"W2372250887","doi":"","title":"Breeding and Application of High Yield Maize Hybrid Xundan 26 with Good Quality and Multiple Resistance","year":2009,"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":"Resistance (ecology); Yield (engineering); Quality (philosophy); Agronomy; Biotechnology; Biology; Agricultural engineering; Mathematics; Materials science; Engineering; Composite material; Physics","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":[0.0002530191,0.0004352668,0.0003583473,0.0004615322,0.0003147376,0.0002089793,0.0004345599,0.0002867018,0.001537814],"category_scores_gemma":[0.0001021927,0.0002750889,0.000417343,0.0003838144,0.0002053242,0.0001590065,0.0004103176,0.0004216086,0.0002608663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004082464,"about_ca_system_score_gemma":0.0003474868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001005507,"about_ca_topic_score_gemma":0.002306742,"domain_scores_codex":[0.9998397,0.00002028691,0.00001573605,0.00005539423,0.00003886907,0.00003002884],"domain_scores_gemma":[0.9999081,0.0000127853,0.00002047615,0.00001176453,0.000009221194,0.00003761639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0000369583,0.00001900864,0.0001256994,0.00001652141,0.00000367148,0.00004824999,0.00001347949,0.0000641763,0.9984636,0.0001243779,0.00001384907,0.001070283],"study_design_scores_gemma":[0.0002003592,0.001130886,0.02983403,0.00001515931,0.0002698309,0.001127344,0.0001554998,0.003169654,0.9461143,0.0002704335,0.01767048,0.00004212506],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9886549,0.0003993797,0.008127404,0.00008386923,0.00002924917,0.00009981778,0.0003559751,0.0001067869,0.002142699],"genre_scores_gemma":[0.9781467,0.0003978106,0.0111786,0.00004758203,0.00000879866,0.00005954014,0.001423342,0.00006669248,0.008670966],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001537814,"threshold_uncertainty_score":0.005144477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0168519922334715,"score_gpt":0.2114143922783346,"score_spread":0.1945624000448631,"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."}}