{"id":"W7117259355","doi":"10.1016/j.still.2025.107034","title":"Multi-frequency SAR and optical data integration for continental-scale digital mapping of soil chemical properties across Europe","year":2025,"lang":"en","type":"article","venue":"Soil and Tillage Research","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"Ludong University; National Natural Science Foundation of China; Natural Science Foundation of Shandong Province; Endocrine Society of Australia","keywords":"Synthetic aperture radar; Backscatter (email); Satellite; Digital soil mapping; 3D optical data storage; Soil map; Radar; Data integration; Earth observation","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":[0.001083274,0.000611319,0.0002789603,0.000835259,0.0001788304,0.0007091028,0.0004070748,0.0004989331,0.0006587818],"category_scores_gemma":[0.0008780856,0.0002186111,0.0007961004,0.00135334,0.0001800031,0.0008696831,0.0006280189,0.0003399447,0.0001827672],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003665707,"about_ca_system_score_gemma":0.0004633161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01564742,"about_ca_topic_score_gemma":0.01310735,"domain_scores_codex":[0.9997085,0.00008246733,0.00002201366,0.00008702779,0.00005281332,0.00004713797],"domain_scores_gemma":[0.9997172,0.00005862926,0.00003973931,0.00006777111,0.00009312852,0.00002365407],"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":[0.0002942836,0.0002693133,0.1426536,0.0001936532,0.00056764,0.000366559,0.0001726994,0.6036873,0.02900738,0.001770941,0.002270225,0.2187465],"study_design_scores_gemma":[0.00006180232,0.00009849683,0.09802129,0.00005080254,0.0001934481,0.00007263794,0.0002327516,0.8872087,0.007957256,0.001477105,0.004570178,0.0000554586],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9543102,0.0005627235,0.04000844,0.0003037358,0.00004698494,0.00003470137,0.001470861,0.0007401049,0.002522248],"genre_scores_gemma":[0.9679843,0.0002329037,0.02983097,0.00004577625,0.00001077342,0.00002063498,0.001614702,0.0000319563,0.0002280612],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01564742,"threshold_uncertainty_score":0.03111267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07956702906788589,"score_gpt":0.3398206971861299,"score_spread":0.2602536681182441,"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."}}