{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000277304,0.00008971531,0.0001412711,0.000005244135,0.0001886983,0.00003328519,0.0001161696,0.00003741085,6.873503e-7],"category_scores_gemma":[0.00006712131,0.00003104763,0.0000137938,0.0001849109,0.00009435493,0.0001253035,0.00002297717,0.00008271347,0.000001346702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000008108035,"about_ca_system_score_gemma":0.000002491106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005053925,"about_ca_topic_score_gemma":0.001523837,"domain_scores_codex":[0.9992337,0.00003303833,0.0001426558,0.0002684376,0.0001737105,0.0001484375],"domain_scores_gemma":[0.9994853,0.0002395151,0.0001184136,0.00004444219,0.00004370202,0.00006860125],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000166149,0.00008417071,0.4325532,0.00002257138,0.000007759048,0.000002612674,0.0002004859,0.000006643857,0.5506374,0.005274028,0.000113714,0.01093128],"study_design_scores_gemma":[0.0001135541,0.0001323871,0.9894938,0.00002182485,0.000004815907,0.00000785988,0.00021645,0.00003748009,0.00861777,0.0009714889,0.0002768257,0.0001057502],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9977191,0.00008399264,0.00005096736,0.001382101,0.00001125867,0.0001571979,0.00003055892,0.00004707225,0.0005177203],"genre_scores_gemma":[0.9991997,0.00001750418,0.0004357248,0.0001330746,0.00004504664,0.000002386493,0.00001280553,3.795569e-7,0.0001533774],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5569406,"threshold_uncertainty_score":0.1451334,"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."}}