{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007625188,0.00008239484,0.0001339208,0.00001526231,0.00002009531,0.000006147939,0.00008731245,0.00002851139,0.0001581554],"category_scores_gemma":[0.00002559733,0.00004657908,0.00002262792,0.000072357,0.00006052035,0.0001049719,0.00005734206,0.00004261893,0.000005361862],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003275614,"about_ca_system_score_gemma":4.226915e-7,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006119624,"about_ca_topic_score_gemma":0.0001784057,"domain_scores_codex":[0.9992984,0.00002608279,0.0001871004,0.0001647767,0.000217524,0.0001061406],"domain_scores_gemma":[0.9997314,0.00008955218,0.00008439034,0.00005584673,9.874849e-7,0.00003784172],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000006583591,0.0001701209,0.6760422,0.000008016248,7.436126e-7,5.055584e-7,0.0001566409,0.000006200367,0.3038454,0.00006110589,0.000009566616,0.01969291],"study_design_scores_gemma":[0.0001098888,0.0001875526,0.8867763,0.00005028189,0.00000183178,2.394917e-7,0.00004963427,0.00001136012,0.1126089,0.0001352203,0.000004674475,0.00006420968],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984291,0.000004535957,0.00002118161,0.0002578227,0.00002014265,0.0001407028,0.000001906628,0.000005126043,0.001119524],"genre_scores_gemma":[0.9995543,0.00003490753,0.00002389386,0.0001414847,0.000006459719,0.000002433058,0.000002060485,9.366191e-7,0.000233487],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.210734,"threshold_uncertainty_score":0.189944,"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."}}