{"id":"W2270429025","doi":"10.1007/s11356-015-5812-9","title":"No tillage combined with crop rotation improves soil microbial community composition and metabolic activity","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Youth Innovation Promotion Association of the Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Tillage; Monoculture; Crop rotation; Soil carbon; Agronomy; Environmental science; Soil quality; Microbial population biology; Conventional tillage; No-till farming; Crop; Soil water; Soil science; Biology; Soil fertility; Bacteria","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":[0.00024759,0.0008738617,0.0007368705,0.0004727005,0.0003449722,0.0005644804,0.0004314495,0.0003516067,0.001622216],"category_scores_gemma":[0.000580703,0.0003544673,0.0003455517,0.0004056763,0.0005926085,0.0006946265,0.0004828382,0.0007635025,0.0002255692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005694765,"about_ca_system_score_gemma":0.001400815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003780979,"about_ca_topic_score_gemma":0.00980533,"domain_scores_codex":[0.9996864,0.00003971755,0.00002165233,0.0001089764,0.00004631369,0.00009691333],"domain_scores_gemma":[0.9990017,0.0001206636,0.0002414958,0.00008426158,0.00004229425,0.0005096329],"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":[0.01057675,0.001261544,0.006943396,0.0002047759,0.0001620873,0.0001312746,0.00009933538,0.0004764893,0.9685327,0.0001124379,0.0001672235,0.01133187],"study_design_scores_gemma":[0.001370651,0.02951486,0.5457175,0.00009110921,0.001065579,0.0009173902,0.0008689686,0.007410328,0.4036044,0.001284916,0.007994034,0.0001602538],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985195,0.0004781705,0.0004264034,0.00006880607,0.00004849521,0.00001193613,0.00009342118,0.00004202718,0.0003112579],"genre_scores_gemma":[0.9977124,0.0003021874,0.0007945368,0.00006660002,0.00002776408,0.000014251,0.0002009412,0.00002046984,0.0008608822],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003780979,"threshold_uncertainty_score":0.007517993,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03227959243873713,"score_gpt":0.2677798335715307,"score_spread":0.2355002411327936,"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."}}