{"id":"W2069422065","doi":"10.1139/x01-031","title":"Humus buildup in boreal forests: effects of litter fall and its N concentration","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Forskningsrådet om Hälsa, Arbetsliv och Välfärd","keywords":"Scots pine; Humus; Litter; Taiga; Alder; Beech; Betula pubescens; Picea abies; Tundra; Botany; Environmental science; Animal science; Chemistry; Ecology; Horticulture; Ecosystem; Pinus <genus>; Biology; Soil science; Soil water","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":[0.0005952105,0.0007044086,0.0003590522,0.0002585625,0.0003047152,0.0005158957,0.0004366094,0.0004278412,0.0004005368],"category_scores_gemma":[0.0009071148,0.0002897617,0.0005473368,0.0001136491,0.0003218321,0.0003359053,0.0002276247,0.0002092832,0.00009425135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006157905,"about_ca_system_score_gemma":0.0004690881,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03302841,"about_ca_topic_score_gemma":0.02461256,"domain_scores_codex":[0.9998734,0.00003308108,0.000006125731,0.0000467025,0.00002042298,0.00002032369],"domain_scores_gemma":[0.9995325,0.0003091427,0.0000722576,0.00001461681,0.00004316559,0.00002849759],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.0001261733,0.00006991686,0.06210541,0.00003417929,0.00007464874,0.00007084849,0.00004147291,0.9278572,0.002555351,0.0002762119,0.0001092099,0.006679344],"study_design_scores_gemma":[0.00001105418,0.00009788349,0.01813001,0.000004547256,0.00002479323,0.00004148198,0.00001567458,0.9806458,0.0005683568,0.0003036226,0.0001467958,0.00001004467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.96242,0.0002481443,0.03589976,0.00005138019,0.00001147863,0.00002704206,0.0002678051,0.0001574037,0.0009169765],"genre_scores_gemma":[0.9962282,0.00005840626,0.003133028,0.000007974906,0.000005447664,0.0000213523,0.0001137654,0.00001020062,0.0004215982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9669716,"threshold_uncertainty_score":0.06567234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02911699731785623,"score_gpt":0.2775509706214583,"score_spread":0.2484339733036021,"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."}}