{"id":"W1994890658","doi":"10.1890/04-0893","title":"BELOWGROUND LITTER CONTRIBUTIONS TO NITROGEN CYCLING AT A NORTHERN GRASSLAND–FOREST BOUNDARY","year":2005,"lang":"en","type":"article","venue":"Ecology","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Instituto Nacional de Tecnología Agropecuaria","keywords":"Litter; Grassland; Plant litter; Environmental science; Agronomy; Productivity; Cycling; Nitrogen cycle; Ecosystem; Forest ecology; Nutrient cycle; Habitat; Ecology; Biology; Nitrogen; Forestry; Geography; Chemistry","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":[0.0002273013,0.0001995854,0.0003007637,0.0006064163,0.0004654018,0.0006219186,0.00026676,0.0003454839,0.0007492108],"category_scores_gemma":[0.0003316642,0.0002382519,0.0001799139,0.0003713794,0.0004188626,0.0003897612,0.0007037286,0.0001756777,0.0001083453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003988973,"about_ca_system_score_gemma":0.0002865736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008082969,"about_ca_topic_score_gemma":0.01414081,"domain_scores_codex":[0.9998653,0.00002512288,0.000006172147,0.0000520005,0.00002109708,0.00003026115],"domain_scores_gemma":[0.9997069,0.00005787371,0.00009410319,0.00001901003,0.00002702566,0.0000949551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005265516,0.0001069741,0.7568275,0.0001162225,0.0001184396,0.0006657509,0.0008502295,0.001206248,0.2282892,0.0002140079,0.00008220879,0.0109967],"study_design_scores_gemma":[0.00000222548,0.00001513262,0.9988273,0.000001877465,0.000005531421,0.0000496642,0.00008200753,0.000573826,0.0003532696,0.0000329258,0.00005440377,0.000001821807],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996663,0.00005493319,0.00005649396,0.000005319229,4.740149e-7,0.000001097274,0.0000212188,0.000005661922,0.000188565],"genre_scores_gemma":[0.9995599,0.0000431986,0.000167696,0.00000682137,0.00000185528,0.000004084281,0.00009702415,0.000002692967,0.0001165756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008082969,"threshold_uncertainty_score":0.0160718,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008156176377951659,"score_gpt":0.2306673770862277,"score_spread":0.222511200708276,"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."}}