{"id":"W2372736859","doi":"","title":"Spatiotemporal Change of Drought over the Songliao Plain Based on TVDI","year":2014,"lang":"en","type":"article","venue":"Arid Zone Research","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Environmental science; Arid; Woodland; Vegetation (pathology); Irrigation; Agriculture; Land use; Moderate-resolution imaging spectroradiometer; Physical geography; Water resource management; Geography; Hydrology (agriculture); Ecology; Geology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002143767,0.0000830253,0.000126763,0.0001274289,0.0002345375,0.000062928,0.000234004,0.00006067077,0.0005891565],"category_scores_gemma":[0.0002140651,0.00004754563,0.00004802772,0.0003259788,0.0001625201,0.00008324375,0.00001252598,0.0003076998,0.0002448621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004138087,"about_ca_system_score_gemma":0.00005790438,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01599609,"about_ca_topic_score_gemma":0.006661098,"domain_scores_codex":[0.9980882,0.0004936268,0.0001349655,0.0001956436,0.0007185725,0.000368979],"domain_scores_gemma":[0.9983417,0.001081325,0.00003919204,0.0003780841,0.00006731212,0.0000923984],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005765266,0.0001456232,0.4493852,0.0001231876,0.00003326316,0.00003894215,0.001427088,0.002292058,0.0001230249,0.0005141281,0.01511436,0.5302266],"study_design_scores_gemma":[0.0004544507,0.0005692318,0.6445771,0.00006846068,0.000003803046,0.000001524123,0.00008617222,0.3085934,0.0006993784,0.0003195925,0.0445136,0.0001133268],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9735508,0.0001093266,0.0001090281,0.002623026,0.000166386,0.0002123767,0.00002073231,0.00001986864,0.02318843],"genre_scores_gemma":[0.998708,0.00004045227,0.0001371069,0.000283404,0.0003266501,4.126145e-7,0.00004624992,0.000004179833,0.0004535429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5301132,"threshold_uncertainty_score":0.9905565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08621174606273203,"score_gpt":0.3115330568615006,"score_spread":0.2253213107987685,"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."}}