{"id":"W2374945222","doi":"","title":"High-yield and High-quality Production Technology of New Hybrid Rice Variety Zhuliangyou 15","year":2009,"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); Production (economics); Variety (cybernetics); Quality (philosophy); Agronomy; Agricultural engineering; Business; Mathematics; Biology; Engineering; Economics; Materials science; Physics; Statistics; Microeconomics; Metallurgy","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":[0.0001415531,0.000337634,0.000365486,0.0002720099,0.0002247838,0.0002920651,0.0003109331,0.0001613775,0.0006041474],"category_scores_gemma":[0.00006416786,0.0002713615,0.0003968392,0.0002867283,0.0001415522,0.000195872,0.0003204965,0.0003918047,0.0001993372],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073264,"about_ca_system_score_gemma":0.0002950921,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001615562,"about_ca_topic_score_gemma":0.00233438,"domain_scores_codex":[0.9999316,0.000005935988,0.000007089909,0.00002567953,0.00001751893,0.0000122393],"domain_scores_gemma":[0.9999485,0.000008077354,0.00001088028,0.000006749307,0.000009501597,0.00001633074],"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":[0.00003050734,0.000003998117,0.0001966838,0.00002108051,0.00000334708,0.0000388552,0.00001692565,0.00005013154,0.998956,0.00003986918,0.00001448921,0.0006282137],"study_design_scores_gemma":[0.00006213753,0.0002358028,0.0104888,0.000004818398,0.00009425734,0.0002745464,0.0000701528,0.001344865,0.9843554,0.00007513,0.002981403,0.00001264486],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9914146,0.0003969279,0.007064552,0.00005068722,0.00001370359,0.00001620908,0.0002101967,0.00006260606,0.0007705177],"genre_scores_gemma":[0.9903318,0.0002388681,0.006508745,0.0000173915,0.000003559861,0.00002038434,0.0007082114,0.00003453656,0.002136567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001615562,"threshold_uncertainty_score":0.003212333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02892229479167712,"score_gpt":0.2651010987387552,"score_spread":0.2361788039470781,"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."}}