{"id":"W1873992983","doi":"10.1139/cjfr-2013-0485","title":"Influences of various forms of nitrogen additions on carbon mineralization in natural secondary forests and adjacent larch plantations in Northeast China","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Mineralization (soil science); Larch; Chemistry; Nitrogen cycle; Soil water; Soil carbon; Soil organic matter; Organic matter; Ammonium; Nitrogen; Agronomy; Environmental chemistry; Botany; Ecology; Biology; Organic chemistry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002927174,0.000368003,0.0003454074,0.0005292849,0.0005380549,0.0003630928,0.0002866433,0.0001995831,0.0002935874],"category_scores_gemma":[0.0002168349,0.00021663,0.00034478,0.0002811246,0.000484504,0.000231333,0.0003571471,0.0001921364,0.00004162007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001796397,"about_ca_system_score_gemma":0.001222873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06194319,"about_ca_topic_score_gemma":0.1795288,"domain_scores_codex":[0.9997782,0.00002831494,0.00002529156,0.00007804671,0.00003435227,0.0000558374],"domain_scores_gemma":[0.9996936,0.0000339226,0.00007921239,0.00001186587,0.00005955192,0.0001217181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001432217,0.0002393311,0.5392755,0.0002098149,0.0001969606,0.0009219354,0.0008569829,0.001036896,0.4469945,0.0001185697,0.00009615329,0.008621074],"study_design_scores_gemma":[0.00001022056,0.0001308427,0.9935702,0.000002531898,0.00002032148,0.0000425377,0.0002144045,0.0004626136,0.00536349,0.0000175686,0.0001584319,0.000006771253],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9998202,0.00004287057,0.00001610468,0.000005093485,9.854313e-7,0.00000233721,0.00002558803,0.000001082841,0.00008581464],"genre_scores_gemma":[0.9994158,0.00008388935,0.0000813482,0.00002010673,0.000001816595,0.000008230024,0.000119629,0.00000154736,0.0002676812],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06194319,"threshold_uncertainty_score":0.1231652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01666768794331405,"score_gpt":0.2564247728338352,"score_spread":0.2397570848905211,"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."}}