{"id":"W2169549454","doi":"10.1111/j.1654-1103.2011.01257.x","title":"Can plant litter affect net primary production of a typical steppe in Inner Mongolia?","year":2011,"lang":"en","type":"article","venue":"Journal of Vegetation Science","topic":"Plant Ecology and Soil Science","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Litter; Steppe; Agronomy; Environmental science; Leymus; Inner mongolia; Primary production; Plant litter; Grassland; Growing season; Ecosystem; Biology; Ecology; Geography; China","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":[0.0002759866,0.0001462281,0.0001646668,0.0001840118,0.0001664163,0.0002248501,0.0001776745,0.000200848,0.0004249557],"category_scores_gemma":[0.000344987,0.00008448236,0.0001349493,0.0001186096,0.000189204,0.0001623729,0.0001203533,0.00007888571,0.0000645187],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005020246,"about_ca_system_score_gemma":0.0002752726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009157772,"about_ca_topic_score_gemma":0.03230794,"domain_scores_codex":[0.9999104,0.00003024645,0.000005309912,0.00002542349,0.00000976607,0.00001879632],"domain_scores_gemma":[0.9996839,0.00007279647,0.0001306531,0.00001782291,0.00002930232,0.00006566542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003276829,0.000123762,0.9171951,0.0001240326,0.0001439775,0.0002044922,0.000368302,0.0002925774,0.07298116,0.0000324974,0.00007711294,0.008129347],"study_design_scores_gemma":[0.000001598756,0.00009251763,0.9992282,0.000001765162,0.00000945495,0.0000219354,0.00007837699,0.0001268929,0.0003720176,0.000005314611,0.00006093032,8.721149e-7],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997851,0.0000903364,0.00002597699,0.00001157907,0.000001176058,0.00000136825,0.00002745568,0.00000106271,0.00005594177],"genre_scores_gemma":[0.9996719,0.00006451725,0.000100857,0.00001379007,0.000001392947,0.000001821084,0.00006072794,5.783261e-7,0.00008436952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009157772,"threshold_uncertainty_score":0.01820892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01967639206385044,"score_gpt":0.230699850518067,"score_spread":0.2110234584542166,"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."}}