{"id":"W3004405736","doi":"","title":"Modeling InSAR closure phase and soil moisture inversion","year":2019,"lang":"en","type":"article","venue":"elib (German Aerospace Center)","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Spurious relationship; Interferometric synthetic aperture radar; Inversion (geology); Interferometry; Closure (psychology); Earth structure; Geology; Scaling; Synthetic aperture radar; Geodesy; Remote sensing; Environmental science; Physics; Meteorology; Optics; Mathematics; Seismology; Geometry; Geomorphology; Structural basin","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":[0.0004605181,0.0005591692,0.0003413017,0.0004134481,0.0001753472,0.0006549128,0.0006399085,0.0007074579,0.0009084494],"category_scores_gemma":[0.001193387,0.0004963029,0.000511833,0.0004402458,0.0003151306,0.0008750645,0.0004203776,0.0006182374,0.000365719],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006097122,"about_ca_system_score_gemma":0.0005566815,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01182699,"about_ca_topic_score_gemma":0.008074604,"domain_scores_codex":[0.9998467,0.00003416372,0.000009624397,0.00004626902,0.00002901985,0.00003422372],"domain_scores_gemma":[0.9997352,0.0001036469,0.00005174798,0.00004436876,0.00004560928,0.00001937971],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006892809,0.00007382348,0.006077873,0.00003134537,0.00003640703,0.00009443914,0.00004344,0.9676432,0.007495004,0.0021034,0.0006455609,0.01568669],"study_design_scores_gemma":[0.000005700647,0.000007308789,0.001005012,0.000001450927,0.000004209415,0.000008073121,0.000003767272,0.9972804,0.001051709,0.0003467423,0.0002802225,0.000005395077],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6067806,0.0002901218,0.3839526,0.0004210985,0.0001144002,0.0001033914,0.001675522,0.002549033,0.004113197],"genre_scores_gemma":[0.9668455,0.0001289405,0.03030246,0.00007922787,0.00003544344,0.0000552447,0.001051116,0.0001723075,0.001329686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182699,"threshold_uncertainty_score":0.0235163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005813216463301096,"score_gpt":0.2270348544457814,"score_spread":0.2212216379824803,"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."}}