{"id":"W2981729969","doi":"10.4095/299803","title":"Assessing the hydrologic and environmental impacts of climate change with an integrated groundwater and surface water model","year":2017,"lang":"en","type":"report","venue":"","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Groundwater; Environmental science; Surface water; Climate change; Hydrology (agriculture); Hydrological modelling; Environmental change; Water resource management; Geology; Environmental engineering; Climatology; Oceanography; Geotechnical engineering","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":[0.0005341641,0.0005697053,0.0006043608,0.0005133416,0.000662622,0.001262554,0.001334051,0.000972517,0.00122981],"category_scores_gemma":[0.001073496,0.0004627152,0.0006225143,0.000661927,0.000586634,0.000685462,0.0007636677,0.0005672073,0.0001065444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005828129,"about_ca_system_score_gemma":0.00544767,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.5933079,"about_ca_topic_score_gemma":0.5553783,"domain_scores_codex":[0.999795,0.00004826427,0.00001026292,0.00004644173,0.00004548873,0.00005449223],"domain_scores_gemma":[0.9994956,0.0001879137,0.00004346903,0.00003530504,0.000148011,0.00008967532],"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":[0.0000683098,0.00005050428,0.007862115,0.00001267071,0.00003707556,0.00003591139,0.00003440606,0.9882698,0.000446704,0.0006919304,0.0003701058,0.002120361],"study_design_scores_gemma":[0.00003330558,0.0000286315,0.001371696,0.000002014083,0.00001713864,0.000003360932,0.00002540339,0.9979978,0.0001094946,0.0001799261,0.0002248763,0.000006334787],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9747844,0.00009577625,0.01299411,0.0005275306,0.00002444807,0.0001329747,0.002056074,0.0004025998,0.008982096],"genre_scores_gemma":[0.9918281,0.00006856256,0.006099031,0.00003630175,0.000007434333,0.00005645522,0.0006899119,0.00002056294,0.001193721],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5933079,"threshold_uncertainty_score":0.8181745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04367374424395124,"score_gpt":0.2813383479208475,"score_spread":0.2376646036768963,"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."}}