{"id":"W2366005632","doi":"","title":"Study on High Yield Cultivation Technology for Brassica napus L. in Southern Shanxi","year":2008,"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":"Brassica; Yield (engineering); Horticulture; Biology; Agronomy; 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":[0.0001382413,0.0001215057,0.0001506911,0.00002917775,0.0002142328,0.00001656919,0.0002965132,0.000126769,0.000004271143],"category_scores_gemma":[0.0001553583,0.00004125593,0.0000357415,0.0006765414,0.00006014291,0.00007343477,0.00004317278,0.0001243392,0.00007316423],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000293216,"about_ca_system_score_gemma":0.000005871501,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003443758,"about_ca_topic_score_gemma":0.001622831,"domain_scores_codex":[0.9990121,0.00002551208,0.000165138,0.0003427939,0.0001917067,0.0002627616],"domain_scores_gemma":[0.9995978,0.0001864236,0.00007351829,0.00005569183,0.00004694731,0.00003964344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009053048,0.0007869715,0.8689296,0.000002381972,0.00001083726,0.00002898457,0.001797453,0.00002771727,0.1226932,0.0005949551,0.0008102544,0.004227196],"study_design_scores_gemma":[0.0002497567,0.0006716747,0.988897,0.00001374871,0.000002967583,0.000008878461,0.005037629,0.00001761092,0.004055489,0.0005050374,0.000383579,0.0001566653],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970351,0.000009375723,0.000003749215,0.001881893,0.0000948911,0.000576839,0.00003653139,0.0001065477,0.0002550694],"genre_scores_gemma":[0.9987354,0.000002252659,0.00005207609,0.0001578169,0.0001081803,0.00007161438,0.00002946708,7.102752e-7,0.0008424867],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1199674,"threshold_uncertainty_score":0.1682368,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03455895941434463,"score_gpt":0.2240094027122653,"score_spread":0.1894504432979207,"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."}}