{"id":"W4255521727","doi":"10.5194/soil-2019-42","title":"Identification of new microbial functional standards for soil quality assessment","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Analyses et Expérimentations pour les Ecosystèmes; Agence Nationale de la Recherche","keywords":"Environmental science; Soil quality; Standardization; Soil functions; Nutrient cycle; Soil biology; Soil health; Ecosystem services; Biomass (ecology); Environmental resource management; Soil carbon; Soil organic matter; Biochemical engineering; Ecosystem; Computer science; Ecology; Soil water; Soil biodiversity; Biology; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01312602,0.001198294,0.0009709413,0.005518022,0.0006958207,0.002137832,0.001361849,0.001833718,0.001237898],"category_scores_gemma":[0.01067928,0.0004107133,0.001027184,0.00294016,0.0009197886,0.002152153,0.002208799,0.001483439,0.0008971167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120492,"about_ca_system_score_gemma":0.001423703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008334471,"about_ca_topic_score_gemma":0.001422793,"domain_scores_codex":[0.9876172,0.003074187,0.001405797,0.001482528,0.00605549,0.0003648231],"domain_scores_gemma":[0.988316,0.002084098,0.001873757,0.00104135,0.006347144,0.0003375916],"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":[0.0004356869,0.0004775019,0.03012466,0.002093127,0.0001393348,0.00008106983,0.0004326921,0.003951375,0.6842826,0.006849406,0.002008386,0.2691242],"study_design_scores_gemma":[0.00008977973,0.002787766,0.08818669,0.000941858,0.0004138151,0.0005278561,0.0011882,0.03291143,0.8034975,0.01390723,0.05528207,0.0002658835],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.272879,0.01355235,0.6853545,0.001238445,0.0006743786,0.001614179,0.005666382,0.001452561,0.01756825],"genre_scores_gemma":[0.4489348,0.0041457,0.5327834,0.0005255443,0.0001512787,0.002641421,0.007513199,0.0001796634,0.003125024],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01312602,"threshold_uncertainty_score":0.06941783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05079783790016196,"score_gpt":0.3459985701331038,"score_spread":0.2952007322329418,"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."}}