{"id":"W4385872233","doi":"10.1029/2022wr034169","title":"Mapping Surface Water Presence and Hyporheic Flow Properties of Headwater Stream Networks With Multispectral Satellite Imagery","year":2023,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Oak Ridge Institute for Science and Education; U.S. Forest Service; Simon Fraser University; U.S. Department of Agriculture","keywords":"Channel (broadcasting); Riparian zone; Channelized; Remote sensing; Hydrology (agriculture); Satellite imagery; Multispectral image; Environmental science; Tributary; Geology; Geography; Computer science; Cartography","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000251805,0.0002496344,0.0001408569,0.0007664384,0.0001405131,0.0003637033,0.0002406759,0.000158089,0.0003245361],"category_scores_gemma":[0.0004301521,0.0001447391,0.0001990423,0.0003804816,0.0001386984,0.000341965,0.0001798369,0.0001340877,0.00007317902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004194246,"about_ca_system_score_gemma":0.0002320257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0409492,"about_ca_topic_score_gemma":0.08836747,"domain_scores_codex":[0.999918,0.00001075094,0.000003771103,0.0000375521,0.00001641938,0.00001341669],"domain_scores_gemma":[0.9997601,0.0000718671,0.00006862926,0.00002540491,0.00004808828,0.00002596368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002063853,0.0003777809,0.7424441,0.00003539177,0.0001313232,0.0001153649,0.0001832238,0.1723326,0.01333256,0.0001249119,0.0007589423,0.06995746],"study_design_scores_gemma":[0.00001527807,0.00006969472,0.3697933,0.000007655187,0.00002465466,0.00002214261,0.0001385918,0.6277059,0.00190012,0.00009767328,0.0002162924,0.000008622197],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986738,0.00001518259,0.0008738509,0.000008257392,8.645e-7,0.000005943523,0.0001780002,0.00005224335,0.0001918541],"genre_scores_gemma":[0.9975272,0.00001302351,0.001970408,0.000003141552,0.000001913587,0.00000382288,0.0003563054,0.000002926696,0.0001212717],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0409492,"threshold_uncertainty_score":0.08142167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03652180209245703,"score_gpt":0.2536660841130477,"score_spread":0.2171442820205907,"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."}}