{"id":"W230536197","doi":"10.1007/s10021-015-9880-y","title":"Home Field Advantage of Litter Decomposition in Pure and Mixed Plantations Under Boreal Climate","year":2015,"lang":"en","type":"article","venue":"Ecosystems","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"","keywords":"Boreal; Taiga; Environmental science; Litter; Decomposition; Ecology; Field (mathematics); Plant litter; Agroforestry; Geography; Forestry; Ecosystem; Biology; Mathematics","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":[0.0001365331,0.00005450727,0.0001074153,0.00001281321,0.00002179659,0.00001696413,0.00004791789,0.00005670888,0.000008989437],"category_scores_gemma":[0.000006579685,0.00002378658,0.00002198773,0.00009036035,0.000008341492,0.00005927592,0.00002087205,0.00004350027,0.000004541757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001384089,"about_ca_system_score_gemma":0.000003182899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005998461,"about_ca_topic_score_gemma":0.01579034,"domain_scores_codex":[0.9995257,0.00004659432,0.0001454111,0.00009793462,0.00007680054,0.0001075111],"domain_scores_gemma":[0.9997637,0.00008910491,0.00004744099,0.00002483257,0.00002240159,0.00005248536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001991743,0.0001616162,0.9466926,0.00008181017,0.00002465313,0.00002434892,0.0005709527,0.00003748123,0.04131849,0.002804353,0.001482012,0.00660254],"study_design_scores_gemma":[0.001007951,0.0006494865,0.9763224,0.0001358666,0.00002141434,0.00006888276,0.004422871,0.008416911,0.00478354,0.003086638,0.0007323577,0.0003516875],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981126,0.0001051635,0.000002485275,0.0003769044,0.0001592676,0.00008771082,0.00006350145,0.00001555999,0.00107682],"genre_scores_gemma":[0.9996784,0.0000304178,0.00002064207,0.00009468226,0.00005618545,0.000006830204,0.000102884,5.195216e-7,0.000009385588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03653495,"threshold_uncertainty_score":0.8811378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01599728925541548,"score_gpt":0.244955350355007,"score_spread":0.2289580610995915,"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."}}