{"id":"W2514821375","doi":"","title":"Multicriteria evaluation of discharge simulation in Dynamic Global Vegetation Models","year":2015,"lang":"en","type":"article","venue":"Max Planck Digital Library","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Environmental science; Environmental resource management; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002335848,0.000892369,0.0007513773,0.0006420249,0.0003339337,0.0008752671,0.001160444,0.0009609433,0.0007989343],"category_scores_gemma":[0.00653048,0.000432849,0.0006253896,0.0004968328,0.0004404255,0.0009857472,0.0009785397,0.0006480647,0.0001189241],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001041614,"about_ca_system_score_gemma":0.0009608251,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01570486,"about_ca_topic_score_gemma":0.008330408,"domain_scores_codex":[0.9993611,0.0003018018,0.00004528252,0.0001248407,0.0000933798,0.00007356965],"domain_scores_gemma":[0.9974422,0.001600187,0.0002582583,0.0002416112,0.0003033852,0.0001542973],"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":[0.0001213296,0.00008707677,0.00673375,0.00002015409,0.00007248942,0.0000349117,0.00003089253,0.9865211,0.0007032073,0.000300466,0.00006999445,0.005304613],"study_design_scores_gemma":[0.00001443828,0.0000400099,0.0008175321,0.000001687245,0.00000568725,0.000004177899,0.000007305304,0.9987422,0.0002491029,0.00007551831,0.00003886285,0.000003517386],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9789368,0.0001519222,0.01860479,0.000125713,0.000029639,0.00004673504,0.0001709304,0.0006717762,0.001261719],"genre_scores_gemma":[0.9920262,0.00004019474,0.00750176,0.00002133068,0.000008306369,0.00002367449,0.0001823408,0.00004126366,0.0001550168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01570486,"threshold_uncertainty_score":0.03122693,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149525731171012,"score_gpt":0.263617453929071,"score_spread":0.2321221966173609,"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."}}