{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001587826,0.0001202474,0.00008342441,0.001020859,0.0001507729,0.0004074779,0.0001799209,0.00009174019,0.0004268831],"category_scores_gemma":[0.0003403962,0.00006847287,0.00009260728,0.001329832,0.0001950367,0.0001485549,0.0002340521,0.00009162191,0.00005893466],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008135782,"about_ca_system_score_gemma":0.0007685042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2527142,"about_ca_topic_score_gemma":0.3592331,"domain_scores_codex":[0.9999384,0.000009269509,0.000002518776,0.00001885167,0.00001855608,0.00001239392],"domain_scores_gemma":[0.9999014,0.00002053104,0.00002202755,0.000009163257,0.0000319118,0.00001491781],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003242602,0.0001749441,0.525229,0.0001345247,0.0001812347,0.0004771606,0.001577615,0.1345256,0.1109026,0.002055046,0.002284408,0.2221336],"study_design_scores_gemma":[0.00001973496,0.00003368709,0.8642645,0.00001535983,0.00003865016,0.00006651617,0.0006989104,0.1274328,0.004523245,0.0005610797,0.002319755,0.00002555821],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9930007,0.00008760734,0.00421778,0.00003092716,0.000001196809,0.00002245409,0.00102835,0.0001012296,0.001509758],"genre_scores_gemma":[0.9916167,0.00005607096,0.007586398,0.000004477131,0.000001484182,0.000007860399,0.0004985065,0.000005833225,0.0002227467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2527142,"threshold_uncertainty_score":0.5024866,"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."}}