{"id":"W1818585868","doi":"10.1002/2014eo120004","title":"Using Images of Continental Water Surface Elevations From Upcoming Satellite Mission","year":2014,"lang":"en","type":"article","venue":"Eos","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Satellite; SWOT analysis; Elevation (ballistics); Ocean surface topography; Remote sensing; Surface water; Agency (philosophy); Environmental science; Geography; Geology; Geodesy; Engineering; Aerospace engineering; Business","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002446006,0.0005112767,0.0003513423,0.003121751,0.0004767235,0.0009077546,0.0003928147,0.000526962,0.008697683],"category_scores_gemma":[0.0004521165,0.0002631176,0.0004920653,0.004285349,0.0001415766,0.0007304383,0.000701779,0.0006200974,0.003912952],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003629272,"about_ca_system_score_gemma":0.0005722413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04242704,"about_ca_topic_score_gemma":0.1360755,"domain_scores_codex":[0.9997639,0.00001213924,0.00001012892,0.00006108356,0.0001090535,0.00004370836],"domain_scores_gemma":[0.9996705,0.000009922773,0.0000368955,0.00005261978,0.0001835394,0.00004654009],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0005419154,0.0006734991,0.1682781,0.0008518191,0.0007493614,0.0008725693,0.000999845,0.01374703,0.1781451,0.001859408,0.1891622,0.4441192],"study_design_scores_gemma":[0.0001027779,0.00007967542,0.8262903,0.0001135574,0.000179424,0.0002494756,0.0006129602,0.0163597,0.01619066,0.0005992228,0.1391283,0.00009387968],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.459396,0.00139385,0.03425612,0.0008772007,0.0008227577,0.0007396762,0.3496805,0.01007896,0.1427549],"genre_scores_gemma":[0.5288962,0.001311414,0.09639776,0.0005467287,0.0003524443,0.0003261949,0.348439,0.00086601,0.02286429],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04242704,"threshold_uncertainty_score":0.08436018,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03484408381471463,"score_gpt":0.2399426812228038,"score_spread":0.2050985974080892,"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."}}