{"id":"W2394164017","doi":"","title":"Analysis on the Yield Components of Rice Variety Mianxiang 576 and It's High-yield Cultivation Techniques","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); Variety (cybernetics); Agronomy; Mathematics; Biology; Statistics; Materials science","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":[0.00009010004,0.0002468266,0.0001347726,0.0003831133,0.0002037414,0.0001317555,0.0001323179,0.00009606668,0.0003895444],"category_scores_gemma":[0.0001015255,0.0001036336,0.0002538948,0.0005402607,0.0001261837,0.0001296515,0.0001290369,0.0002184178,0.00009987582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001643272,"about_ca_system_score_gemma":0.0001849631,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003482579,"about_ca_topic_score_gemma":0.0036476,"domain_scores_codex":[0.9999486,0.000004362724,0.000004149246,0.0000150959,0.00001646513,0.00001130591],"domain_scores_gemma":[0.9999278,0.00001590708,0.00001486949,0.000006753931,0.00001800442,0.00001667307],"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":[0.0002063708,0.00001308189,0.003571255,0.00001405657,0.000005777405,0.00004604245,0.00003241321,0.00003594383,0.9941615,0.00002693682,0.00001362743,0.001872965],"study_design_scores_gemma":[0.00002460507,0.0005533195,0.3668135,0.000003930317,0.0001489842,0.0004690096,0.0002130815,0.001068985,0.6287873,0.0000692553,0.001829648,0.00001841355],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986112,0.0001584738,0.0007137412,0.00001119436,0.000002138675,0.000004313804,0.0001849611,0.000007552327,0.0003063695],"genre_scores_gemma":[0.9958175,0.0001853764,0.001292307,0.00001540652,0.000002802248,0.00001307609,0.001115767,0.00001424116,0.00154357],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003482579,"threshold_uncertainty_score":0.006924629,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04008146436327992,"score_gpt":0.2557640232801542,"score_spread":0.2156825589168743,"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."}}