{"id":"W3211833509","doi":"","title":"InSAR measurements of subsidence in the Central Valley, California from 2007 - present","year":2016,"lang":"en","type":"article","venue":"","topic":"Synthetic Aperture Radar (SAR) Applications and Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Interferometric synthetic aperture radar; Subsidence; Groundwater; Geology; Synthetic aperture radar; Transect; Remote sensing; Satellite; Ground subsidence; Mining engineering; Geomorphology; Geotechnical engineering","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":[0.0001516453,0.0001475529,0.0001395919,0.0007102875,0.0003923478,0.0002875745,0.0001673842,0.0001099532,0.0004694439],"category_scores_gemma":[0.0002552214,0.0001055561,0.00007646831,0.0008998485,0.0001493997,0.0001569304,0.0001660817,0.0001697518,0.0001138869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005921639,"about_ca_system_score_gemma":0.0009550187,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.320271,"about_ca_topic_score_gemma":0.6095704,"domain_scores_codex":[0.9999193,0.000003529103,0.000004800233,0.00001933024,0.00003724553,0.00001592059],"domain_scores_gemma":[0.9997987,0.00001567575,0.00003440763,0.00001368834,0.0001095447,0.00002800951],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003209884,0.0001800078,0.9158004,0.0001079616,0.0001003501,0.0002807075,0.0006326679,0.008718159,0.00593603,0.000260975,0.01773161,0.0499301],"study_design_scores_gemma":[0.00001321162,0.00002215642,0.9926543,0.00001284969,0.00001971678,0.00002593319,0.0001838362,0.002559267,0.0004603633,0.00002341488,0.004019727,0.0000051087],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882804,0.0001996516,0.000324429,0.00005680446,0.00001488909,0.00001240981,0.006747846,0.000107673,0.004255921],"genre_scores_gemma":[0.9879839,0.0002277097,0.001241476,0.00002252124,0.000009738967,0.000009911353,0.009221087,0.00001080949,0.001272668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.320271,"threshold_uncertainty_score":0.6368138,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02341171178967033,"score_gpt":0.2299448425012,"score_spread":0.2065331307115297,"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."}}