{"id":"W3037724232","doi":"10.1139/cjes-2019-0169","title":"Identifying groundwater discharge zones in the Central Mackenzie Valley using remotely sensed optical and thermal imagery","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Earth Sciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Global Water Futures","keywords":"Thematic Mapper; Watershed; Hydrogeology; Groundwater; Geology; Remote sensing; Hydrology (agriculture); Thematic map; Environmental science; Satellite imagery; Cartography; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.0001507632,0.0002162224,0.0001540348,0.00187965,0.0003808433,0.000520752,0.0002297635,0.0001798527,0.0003928431],"category_scores_gemma":[0.000297388,0.0001641144,0.0002075088,0.001309767,0.000243479,0.0003134577,0.0004767122,0.0001365833,0.00006665598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009371262,"about_ca_system_score_gemma":0.0006759642,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1420192,"about_ca_topic_score_gemma":0.374263,"domain_scores_codex":[0.9998877,0.000007318567,0.000009576339,0.00003818798,0.00002542515,0.00003182493],"domain_scores_gemma":[0.9998928,0.00001390356,0.00003817161,0.000007019685,0.00002604304,0.00002211611],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003028472,0.0001295452,0.9052456,0.0001295036,0.00008673267,0.0007089852,0.001952839,0.003429557,0.03613365,0.0002480442,0.0009862727,0.05064641],"study_design_scores_gemma":[0.000007061378,0.00003273104,0.9941161,0.00001223949,0.00001320202,0.00006512891,0.0008842216,0.002916881,0.001070912,0.00002707855,0.0008433473,0.00001115006],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986304,0.00006137093,0.0001975857,0.00001388786,9.227631e-7,0.00002053633,0.0005345308,0.00002040545,0.0005203782],"genre_scores_gemma":[0.9969878,0.00007228324,0.001729295,0.000008414413,0.000001570827,0.0000275024,0.0008262929,0.000003512935,0.0003433647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8579808,"threshold_uncertainty_score":0.2823851,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0715562108924635,"score_gpt":0.2417326502790224,"score_spread":0.1701764393865589,"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."}}