{"id":"W2945324250","doi":"10.3389/feart.2019.00120","title":"Evaluating the Uncertainty of Terrestrial Water Budget Components Over High Mountain Asia","year":2019,"lang":"en","type":"article","venue":"Frontiers in Earth Science","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"National Aeronautics and Space Administration","keywords":"Evapotranspiration; Environmental science; Precipitation; Surface runoff; Water balance; Water cycle; Snow; Satellite; Climatology; Atmospheric sciences; Meteorology; Geology; Geography","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":[0.002107965,0.0001156266,0.0001898656,0.0001217308,0.0001734004,0.00007652539,0.0006430098,0.00003375323,0.0002435182],"category_scores_gemma":[0.00005047273,0.00006714945,0.00004344103,0.0004265404,0.0003779913,0.0003068933,0.00003976344,0.0001526926,0.00008523768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009555998,"about_ca_system_score_gemma":0.0001006012,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006148818,"about_ca_topic_score_gemma":0.0003246943,"domain_scores_codex":[0.9978119,0.0001139462,0.0002481319,0.0003272588,0.001049126,0.0004496424],"domain_scores_gemma":[0.9994336,0.0000378778,0.00008923904,0.0003233223,0.00004647424,0.00006952532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000083956,0.00001908345,0.9504468,0.000006510081,0.000006319452,9.687532e-7,0.0002809111,0.03076283,0.00874354,0.00002485616,0.0001175209,0.009506725],"study_design_scores_gemma":[0.0006296435,0.0002033833,0.899807,0.00002189172,0.000005076221,5.918944e-7,0.0001417786,0.09429987,0.00188484,0.002579338,0.0003134886,0.0001131216],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960217,0.00003404097,0.00003929293,0.0001099571,0.002612393,0.0003257483,0.00002038483,0.000006342459,0.000830096],"genre_scores_gemma":[0.9985057,0.000002489251,0.001166563,0.00007019576,0.00006266576,9.116995e-7,0.00002550224,0.000001951303,0.0001640864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06353705,"threshold_uncertainty_score":0.9295214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02675750135575701,"score_gpt":0.2570354827063999,"score_spread":0.2302779813506429,"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."}}