{"id":"W2362005577","doi":"","title":"Breeding and Cultivation Techniques of Hybrid Rice Heyou No.6 with High Yield and Excellent Quality","year":2010,"lang":"en","type":"article","venue":"Seed","topic":"GABA and Rice Research","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Quality (philosophy); Agronomy; Agricultural engineering; Biology; Biotechnology; Engineering; Materials science; Physics; Composite material","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":[0.0003853332,0.0003504784,0.0003821775,0.0004872067,0.0003256304,0.000188738,0.0004876349,0.0002424563,0.001593576],"category_scores_gemma":[0.0001760507,0.0003327933,0.000387398,0.000321137,0.0001937308,0.0001827741,0.0005035249,0.0006553084,0.00104395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001777694,"about_ca_system_score_gemma":0.0002988367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001321939,"about_ca_topic_score_gemma":0.002518256,"domain_scores_codex":[0.9998087,0.00002859232,0.00002924302,0.00005055113,0.00005316469,0.00002978704],"domain_scores_gemma":[0.9998542,0.00002042259,0.00002115414,0.00003404639,0.00002137629,0.00004888576],"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":[0.00008258015,0.000021382,0.0002657458,0.00003489292,0.000003802065,0.00008148586,0.00004214376,0.00006473508,0.99607,0.00008381608,0.00003828183,0.003211182],"study_design_scores_gemma":[0.0001581694,0.0007550122,0.02270569,0.00002667686,0.0001360441,0.002812034,0.0002044412,0.001011821,0.9521899,0.0002644961,0.01968971,0.0000460722],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9054936,0.0009557831,0.08714736,0.0002444077,0.00006213894,0.0005425086,0.001037116,0.0003137748,0.0042033],"genre_scores_gemma":[0.7982829,0.001522899,0.1791835,0.00008945663,0.00002751901,0.0005810098,0.003985893,0.0002858785,0.0160409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001593576,"threshold_uncertainty_score":0.005331099,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02740089660048139,"score_gpt":0.2630272335100204,"score_spread":0.235626336909539,"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."}}