{"id":"W4407996296","doi":"10.1061/9780784485699.039","title":"Safeguarding Tailings Dams from Space Using L-Band SAR Soil Moisture Analysis","year":2025,"lang":"en","type":"article","venue":"","topic":"Geophysical Methods and Applications","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"ASTER","funders":"","keywords":"Tailings; Safeguarding; Moisture; Environmental science; Remote sensing; Water content; Geology; Geotechnical engineering; Soil science; Materials science; Geography; Meteorology; Metallurgy","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":[0.0002143859,0.0003330901,0.0001612983,0.0005920242,0.0001139929,0.0004286559,0.0002143688,0.0002940469,0.0007543245],"category_scores_gemma":[0.0003680036,0.0001245013,0.0001898196,0.000365696,0.0001230884,0.0005479074,0.0003105688,0.0002246283,0.0004970292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001082538,"about_ca_system_score_gemma":0.0001767414,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001045154,"about_ca_topic_score_gemma":0.002302583,"domain_scores_codex":[0.9998994,0.000019111,0.000004972881,0.00002221967,0.00003558355,0.00001858218],"domain_scores_gemma":[0.9998586,0.00003312797,0.00003606892,0.00001323685,0.00004890062,0.00001000281],"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":[0.0003562089,0.000171689,0.05006504,0.0004027966,0.0001301056,0.0007887082,0.0004768057,0.06799006,0.3833902,0.001444491,0.005826506,0.4889573],"study_design_scores_gemma":[0.00006802478,0.0006316393,0.1869028,0.0001788059,0.0002553747,0.0008556134,0.001191527,0.6269296,0.1516283,0.003776291,0.02743315,0.0001488603],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6672772,0.001120499,0.3122098,0.0004540503,0.00009548043,0.0001010379,0.0009630665,0.002748287,0.01503074],"genre_scores_gemma":[0.9533942,0.0005361632,0.04262814,0.0001257693,0.00002664765,0.00003301866,0.0004793525,0.00005135274,0.002725461],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001045154,"threshold_uncertainty_score":0.002523482,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01002283745170941,"score_gpt":0.2752906598098508,"score_spread":0.2652678223581414,"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."}}