{"id":"W3001169253","doi":"10.1016/j.apsoil.2019.103487","title":"Resilience of the microbial communities of semiarid agricultural soils during natural climatic variability events","year":2020,"lang":"en","type":"article","venue":"Applied Soil Ecology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Soil water; Growing season; Environmental science; Agronomy; Loam; Microbial population biology; Water content; Precipitation; Soil organic matter; Organic matter; Irrigation; Nutrient; Ecology; Biology; Geography; Soil science","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":[0.0002171711,0.0001434397,0.0003196458,0.000005969871,0.0001756323,0.000006915015,0.000593814,0.0001311958,0.00006486774],"category_scores_gemma":[0.00008242312,0.00005299049,0.0001436249,0.0003054957,0.0002799707,0.00003791399,0.0003428154,0.000268505,0.000005257269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003495513,"about_ca_system_score_gemma":0.00001865595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002202435,"about_ca_topic_score_gemma":0.003021349,"domain_scores_codex":[0.9988209,0.0002009832,0.0003830492,0.0001777975,0.0001580268,0.0002592285],"domain_scores_gemma":[0.9991213,0.0003917636,0.000250836,0.0001076271,0.00007328095,0.00005517865],"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":[0.0001069077,0.0001046428,0.1310536,0.00006920571,0.00003421865,3.907167e-7,0.0008730643,0.0002200066,0.8662204,0.0008567517,0.0000409262,0.0004199459],"study_design_scores_gemma":[0.0002568927,0.00007312238,0.9495145,0.00000965889,0.0000209865,0.000005961342,0.001562914,0.0005434307,0.04743937,0.0004399244,0.000008079416,0.0001251669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998013,0.000012052,2.901903e-7,0.0007353174,0.0001448237,0.0002450215,0.00003238921,0.00002890209,0.0007881793],"genre_scores_gemma":[0.9995269,0.00001133716,0.00003941329,0.0003047841,0.00006341361,0.00001541413,0.00002339417,0.000001113234,0.0000142421],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.818781,"threshold_uncertainty_score":0.216089,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008338955126862715,"score_gpt":0.187997824473412,"score_spread":0.1796588693465493,"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."}}