{"id":"W1487033807","doi":"10.1002/hyp.10068","title":"Regional‐scale mapping of groundwater discharge zones using thermal satellite imagery","year":2013,"lang":"en","type":"article","venue":"Hydrological Processes","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Water Research Institute","keywords":"Groundwater; Watershed; Land cover; Remote sensing; Scale (ratio); Hydrology (agriculture); Satellite imagery; Spring (device); Satellite; Geologic map; Geology; Environmental science; Land use; Geomorphology; Cartography; Geography; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001556717,0.000192479,0.0002772297,0.00004849852,0.0001355498,0.00006434778,0.0002845438,0.00009068498,0.00361176],"category_scores_gemma":[0.00001906825,0.0001201179,0.0001046509,0.0003394367,0.0004245846,0.0006084175,0.0002032528,0.0001058907,0.0005433433],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003100992,"about_ca_system_score_gemma":0.000005717328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008515937,"about_ca_topic_score_gemma":0.00001851083,"domain_scores_codex":[0.9985372,0.00006284595,0.0003290767,0.0003869994,0.0002883941,0.0003954862],"domain_scores_gemma":[0.9995133,0.00005430949,0.000111814,0.0001949983,0.00002758336,0.00009794966],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003249389,0.0004717631,0.6697725,0.0001871767,0.00006264781,0.00001149524,0.001476775,0.001819327,0.3220661,0.00001719032,0.0001889001,0.003893671],"study_design_scores_gemma":[0.001069867,0.0005112956,0.8648138,0.0001545988,0.0002447403,0.000115004,0.001123123,0.01628192,0.07844486,0.02809748,0.00720555,0.001937779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945906,0.0001577335,0.002384402,0.0004764232,0.00002430868,0.0001434853,0.000001076661,0.00004903542,0.002172948],"genre_scores_gemma":[0.9971701,0.00005100228,0.00183834,0.0003206778,0.00004828106,0.00002311846,0.00001028,0.00001294916,0.000525233],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2436212,"threshold_uncertainty_score":0.9972991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606897683087788,"score_gpt":0.2209410802245884,"score_spread":0.1948721033937105,"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."}}