{"id":"W2371566580","doi":"","title":"Effect of the recent climate change on water resource in Heihe river basin","year":2010,"lang":"en","type":"article","venue":"Ganhanqu ziyuan yu huanjing","topic":"Environmental and Agricultural Sciences","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Science North","funders":"","keywords":"Surface runoff; Precipitation; Environmental science; Climate change; Structural basin; Hydrology (agriculture); Northern Hemisphere; Water resources; Drainage basin; Climatology; Geology; Geography; Meteorology; Oceanography; Ecology","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":[0.0003729502,0.0001256357,0.0001933038,0.0006023504,0.0004612883,0.0007069167,0.0001957884,0.0003102089,0.000981307],"category_scores_gemma":[0.001051703,0.000145885,0.0003428689,0.0009423242,0.0004797077,0.0005465812,0.0004896664,0.0002601326,0.00007745895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009826294,"about_ca_system_score_gemma":0.0006819951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03303019,"about_ca_topic_score_gemma":0.05797961,"domain_scores_codex":[0.9997475,0.00007141275,0.00002356463,0.00005096367,0.00004969502,0.00005691257],"domain_scores_gemma":[0.9994013,0.0001513506,0.0001773373,0.00003719753,0.0001229364,0.0001097817],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000857053,0.00004660636,0.9837246,0.00003629836,0.0001952092,0.0006714712,0.0005071519,0.005122134,0.002653691,0.0005563044,0.0004357009,0.005965123],"study_design_scores_gemma":[0.000003167984,0.00001737347,0.9968942,0.00000364593,0.00002306658,0.00006686049,0.000268951,0.001964506,0.0001456665,0.00009981878,0.0005065944,0.000005999068],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988126,0.0001243853,0.000128739,0.0001854929,0.000005728063,0.000002871915,0.0001145585,0.000006048748,0.0006197097],"genre_scores_gemma":[0.9996644,0.00009573603,0.00003308356,0.00001511042,0.000008258737,0.000002120703,0.00008662484,0.000001230137,0.00009343879],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03303019,"threshold_uncertainty_score":0.06567585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006356440633884483,"score_gpt":0.1964412156088783,"score_spread":0.1900847749749938,"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."}}