{"id":"W1971057461","doi":"10.1016/j.rse.2010.11.009","title":"Submarine groundwater discharge in tidal flats revealed by space-borne synthetic aperture radar","year":2010,"lang":"en","type":"article","venue":"Remote Sensing of Environment","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Remote sensing; Synthetic aperture radar; Submarine groundwater discharge; Geology; Groundwater; Submarine; Radar; Environmental science; Oceanography; Aquifer; Geotechnical engineering; Computer science; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"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":[0.00006412277,0.0001305996,0.0002005421,0.0003621919,0.0001817514,0.0002758795,0.0001447078,0.0002233035,0.0003699494],"category_scores_gemma":[0.0001868992,0.0001138285,0.00009557874,0.0004134745,0.0002277834,0.0002047361,0.0002199991,0.0001361064,0.00008712383],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001623921,"about_ca_system_score_gemma":0.000190962,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009150692,"about_ca_topic_score_gemma":0.01186399,"domain_scores_codex":[0.9999628,0.000004586533,0.000001991538,0.00001028062,0.00000903102,0.00001118665],"domain_scores_gemma":[0.9999311,0.0000135642,0.00001358001,0.000007347439,0.00001595667,0.00001839464],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009768805,0.0002113025,0.5880231,0.00007124856,0.0001213205,0.001635094,0.001318914,0.01104029,0.3560971,0.0005116875,0.001005454,0.0389876],"study_design_scores_gemma":[0.00002297588,0.0000816602,0.9799207,0.000003962872,0.00002549779,0.0001696358,0.0003812502,0.01593303,0.002954789,0.0001231242,0.0003710293,0.00001236466],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994324,0.00002085159,0.0001288206,0.0000124597,0.000002157357,0.000001023134,0.00006404227,0.000008926269,0.000329352],"genre_scores_gemma":[0.9997396,0.00001593575,0.00008255897,0.000004232422,0.00000238642,5.669694e-7,0.00005751174,0.000001358297,0.00009597406],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009150692,"threshold_uncertainty_score":0.01819485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004257640239762777,"score_gpt":0.1887971025247725,"score_spread":0.1845394622850098,"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."}}