{"id":"W570139556","doi":"","title":"Effects of different cultivation patterns on quality, output and yield of characteristic tobacco in Xingyi city.","year":2009,"lang":"en","type":"article","venue":"","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CAE (Canada)","funders":"","keywords":"Yield (engineering); Tobacco leaf; Plant density; Mathematics; Quality (philosophy); Agronomy; Horticulture; Biology; Agricultural engineering; Engineering; Sowing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002992447,0.0002508204,0.0002052878,0.0003425347,0.0005195398,0.0003406577,0.0002082392,0.0001860602,0.0006422315],"category_scores_gemma":[0.0004343605,0.0002088956,0.0003342713,0.0004317517,0.000367813,0.000195046,0.0003513097,0.000295364,0.0001014442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001051634,"about_ca_system_score_gemma":0.0004183472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01661242,"about_ca_topic_score_gemma":0.04755372,"domain_scores_codex":[0.9997584,0.00005423061,0.00001738503,0.00007449594,0.00003883516,0.00005663289],"domain_scores_gemma":[0.9995467,0.00009124265,0.0001055823,0.00003044586,0.00005812349,0.0001679088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003583313,0.0008907037,0.7798624,0.00009335251,0.0001827156,0.001219636,0.001823412,0.0008138605,0.1960663,0.00006916798,0.0001267363,0.01526837],"study_design_scores_gemma":[0.00001474347,0.0006797067,0.994738,0.000001346376,0.00002612337,0.0000744495,0.0006250809,0.0002655236,0.003442177,0.00001405669,0.0001096,0.000009303752],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999859,0.00001197898,0.00002272937,0.000004323748,8.302387e-7,0.000002721264,0.00002730085,0.000001575874,0.00006951911],"genre_scores_gemma":[0.999514,0.0000298878,0.0001178463,0.000008037215,0.000001143776,0.000005086931,0.00011164,0.000001749925,0.0002105196],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01661242,"threshold_uncertainty_score":0.0330314,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565103051609865,"score_gpt":0.2261562998031347,"score_spread":0.2105052692870361,"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."}}