{"id":"W1990357183","doi":"10.3402/tellusb.v57i3.16542","title":"Vegetation–soil water interaction within a dynamical ecosystem model of grassland in semi-arid areas","year":2005,"lang":"en","type":"article","venue":"Tellus B","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Science Foundation of Inner Mongolia; Mitacs","keywords":"Grassland; Environmental science; Arid; Biomass (ecology); Vegetation (pathology); Ecosystem; Precipitation; Alternative stable state; Hydrology (agriculture); Water content; Ecology; Geography; Geology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0002544415,0.0001035389,0.0001529631,0.00005145358,0.00003655305,0.00001443455,0.000152769,0.0000668006,0.00009672849],"category_scores_gemma":[0.000008332742,0.00007415716,0.00003970631,0.00008775025,0.00003765848,0.0001936888,0.00007788518,0.0001154966,0.0002333746],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000244907,"about_ca_system_score_gemma":0.000008132048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000295703,"about_ca_topic_score_gemma":0.01561354,"domain_scores_codex":[0.9989934,0.00003835335,0.0003479134,0.0002275039,0.0002042345,0.0001886081],"domain_scores_gemma":[0.9996608,0.00002155453,0.00008339806,0.0001731137,0.000007101102,0.00005404536],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001616732,0.00007482162,0.01697255,0.00003263117,0.000003663736,0.000002540166,0.001004309,0.9558262,0.025359,0.00009910011,0.00001532615,0.0005936844],"study_design_scores_gemma":[0.0002131429,0.00002125022,0.003732341,0.00006045642,0.000004756249,0.00001316077,0.00006615487,0.9893756,0.006131512,0.00023856,0.00003878436,0.0001042978],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9909324,0.00001422871,0.002864238,0.0001004877,0.00009115566,0.0001442226,0.000004909569,0.00001794802,0.005830403],"genre_scores_gemma":[0.9992661,0.000007309083,0.0003253615,0.00001795799,0.00001672822,0.00001080436,0.000007901898,0.000009945502,0.000337902],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03354938,"threshold_uncertainty_score":0.8712721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006304999275357897,"score_gpt":0.2063532791686761,"score_spread":0.2000482798933182,"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."}}