{"id":"W1996849413","doi":"10.1016/j.geoderma.2008.01.023","title":"Temporal changes in soil carbon and nitrogen storage in a hybrid poplar chronosequence in northern Alberta","year":2008,"lang":"en","type":"article","venue":"Geoderma","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"BIOCAP Canada","keywords":"Chronosequence; Soil carbon; Soil water; Nitrogen; Biomass (ecology); Chemistry; Fraction (chemistry); Bulk density; Carbon fibers; Topsoil; Environmental science; Total organic carbon; Agronomy; Soil science; Environmental chemistry; Animal science; Mathematics; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003193177,0.0001783397,0.0002229193,0.0009974312,0.0009757975,0.000801569,0.0005185031,0.0003771783,0.0009025236],"category_scores_gemma":[0.0004195957,0.0001750912,0.0001568305,0.00125568,0.0005730114,0.0002860743,0.0004276645,0.0002426411,0.0001143754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007314911,"about_ca_system_score_gemma":0.00361303,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9440857,"about_ca_topic_score_gemma":0.9826289,"domain_scores_codex":[0.9998908,0.00000877162,0.000005416353,0.00002765056,0.00002848253,0.00003888211],"domain_scores_gemma":[0.9995179,0.00005103825,0.00007020451,0.000016206,0.0002346336,0.0001100154],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000843312,0.00009826729,0.9674169,0.00004469603,0.0001164234,0.0007052478,0.002074023,0.001398331,0.01669149,0.0002868754,0.0007960816,0.009528286],"study_design_scores_gemma":[0.000005806433,0.00001022234,0.9978216,0.000004175776,0.00001329113,0.0000475103,0.0007681168,0.0004598956,0.0002766919,0.00001841796,0.0005697226,0.000004597026],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989136,0.0001167216,0.00005562182,0.00003803678,0.000003671965,0.00000292771,0.0003084132,0.000006759615,0.0005541906],"genre_scores_gemma":[0.9985221,0.00008579489,0.0001334765,0.00002461384,0.000002277701,0.000003376864,0.0003235896,0.000003115271,0.0009016215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05591434,"threshold_uncertainty_score":0.1124872,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01530297469778326,"score_gpt":0.1880369155833694,"score_spread":0.1727339408855862,"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."}}