{"id":"W2042160525","doi":"10.1016/j.ecolmodel.2005.03.006","title":"Litter decomposition affected by climate and litter quality—Testing the Yasso model with litterbag data from the Canadian intersite decomposition experiment","year":2005,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":78,"is_retracted":false,"has_abstract":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Litter; Environmental science; Decomposition; Climate change; Ecology; Atmospheric sciences; Chemistry; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.002642664,0.00113321,0.0009429096,0.0005655219,0.001109332,0.001005868,0.001697646,0.0008380145,0.001111455],"category_scores_gemma":[0.003485368,0.0004460415,0.001172737,0.0006541939,0.0009449837,0.0006990397,0.0005099528,0.000816703,0.0001704417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008700113,"about_ca_system_score_gemma":0.007156254,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9076162,"about_ca_topic_score_gemma":0.8706694,"domain_scores_codex":[0.9994051,0.0001519773,0.00002471305,0.00013819,0.00009407182,0.0001859559],"domain_scores_gemma":[0.9960731,0.002373973,0.0002771359,0.0001993279,0.0006005026,0.0004759211],"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":[0.003607325,0.0006211147,0.1763268,0.0001448202,0.000664799,0.0001851843,0.000357946,0.7878638,0.01486235,0.002371006,0.002510646,0.01048423],"study_design_scores_gemma":[0.0003017532,0.000240166,0.1307982,0.000009093891,0.0001788632,0.00003020574,0.0001798172,0.864926,0.002208443,0.0004818955,0.0005674354,0.00007812434],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981495,0.00005584552,0.0007455932,0.00009323261,0.000006563548,0.0000130422,0.000342161,0.00005497059,0.000539133],"genre_scores_gemma":[0.997999,0.00005422885,0.0008135717,0.00003321547,0.000003947215,0.00001438549,0.000425472,0.00002802192,0.0006281542],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0923838,"threshold_uncertainty_score":0.1858557,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07071722255637498,"score_gpt":0.2813331361129386,"score_spread":0.2106159135565636,"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."}}