{"id":"W2374544972","doi":"","title":"Effects of Different Fertilization and Mulching Cultivation Methods on Yield and Soil Water Use of Winter Wheat on Weibei Dryland","year":2011,"lang":"en","type":"article","venue":"Zhongguo nongye Kexue","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Agronomy; Mulch; Straw; Water-use efficiency; Environmental science; Fertilizer; Human fertilization; Seeding; Biomass (ecology); Yield (engineering); Water use; Soil water; Biology; Soil science; Irrigation","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":[0.0001826632,0.0003302138,0.0003328314,0.0003680385,0.0003040919,0.0002088833,0.0002069098,0.00009354391,0.000516339],"category_scores_gemma":[0.0001674546,0.0001298234,0.0003494379,0.0002876694,0.0001827501,0.0001464218,0.0001990967,0.0001654395,0.00007514143],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006158134,"about_ca_system_score_gemma":0.0002785948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009863468,"about_ca_topic_score_gemma":0.03059616,"domain_scores_codex":[0.9998999,0.00001276768,0.00001016775,0.00003677896,0.00001697683,0.00002355656],"domain_scores_gemma":[0.9998412,0.00003353478,0.00004163206,0.00001126259,0.00002327549,0.00004916621],"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":[0.002982703,0.0007418636,0.3623962,0.0002682075,0.0002562162,0.000696928,0.0006123283,0.001736991,0.5985729,0.0000900661,0.0001696874,0.03147576],"study_design_scores_gemma":[0.00002661863,0.001772506,0.9770596,0.000004484176,0.00006618641,0.00006796073,0.0002615135,0.0009154287,0.01923798,0.00001853306,0.0005586356,0.00001052125],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997287,0.00003821222,0.0000623571,0.000002243331,0.000001490276,0.000004026951,0.00005779924,0.000002770223,0.0001023803],"genre_scores_gemma":[0.9986289,0.00009914026,0.0004731524,0.00001244134,0.000002299214,0.00001645198,0.0003038823,0.000003453484,0.000460377],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009863468,"threshold_uncertainty_score":0.01961213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02254952191994798,"score_gpt":0.2245197514606598,"score_spread":0.2019702295407118,"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."}}