{"id":"W2350640619","doi":"","title":"Influence of Different Nutritional Types Tobacco Pplants on Yield and Quality of Seed","year":2007,"lang":"en","type":"article","venue":"Seed","topic":"Agricultural Science and Fertilization","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Yield (engineering); Quality (philosophy); Horticulture; Food science; Biology; Materials science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001826053,0.0004670294,0.0003692642,0.0002702299,0.0002353556,0.0005752573,0.0003854498,0.0004212497,0.00227296],"category_scores_gemma":[0.0005713821,0.0003600921,0.0002324493,0.0001895605,0.0005351326,0.0003571339,0.0003420344,0.0008169342,0.0002457028],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006125406,"about_ca_system_score_gemma":0.0004688031,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002670244,"about_ca_topic_score_gemma":0.004021724,"domain_scores_codex":[0.9997593,0.00006531479,0.00002389712,0.00006543076,0.00003320343,0.00005279647],"domain_scores_gemma":[0.9992313,0.0002787646,0.0000885964,0.00004702192,0.00006339626,0.0002909103],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.004729003,0.0001217584,0.001198576,0.00005416042,0.00002659002,0.00009406803,0.0000525323,0.00008932414,0.9924089,0.0001111314,0.00003307917,0.001080908],"study_design_scores_gemma":[0.0001444091,0.002106319,0.03945064,0.0000134421,0.0001286537,0.0001771012,0.0001878214,0.0009537471,0.9553886,0.0001691725,0.001259373,0.00002065577],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983746,0.0004560769,0.0002600775,0.00005413592,0.00001625444,0.000009265468,0.0001375857,0.00001636993,0.0006756631],"genre_scores_gemma":[0.9955958,0.0002594026,0.000447481,0.00007575045,0.000009400313,0.00001997898,0.0002771011,0.00003067192,0.003284438],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002670244,"threshold_uncertainty_score":0.007603824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03575964831817424,"score_gpt":0.253264587384148,"score_spread":0.2175049390659737,"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."}}