{"id":"W4410639058","doi":"10.1109/jstars.2025.3572946","title":"Dynamics of Impervious Surfaces and Vegetation in Core Urban Areas of Global Megacities","year":2025,"lang":"en","type":"article","venue":"IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing","topic":"3D Modeling in Geospatial Applications","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Ministry of Natural Resources","keywords":"Impervious surface; Megacity; Vegetation (pathology); Environmental science; Core (optical fiber); Remote sensing; Geology; Computer science; Ecology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0000919162,0.0001967298,0.0001600536,0.001245941,0.0002001165,0.0004702279,0.000177058,0.0001702885,0.0009094991],"category_scores_gemma":[0.0004554958,0.0001338461,0.0002339575,0.00177933,0.0002350708,0.0005234181,0.0005788854,0.0001697492,0.00009664978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004923372,"about_ca_system_score_gemma":0.0001752942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02710286,"about_ca_topic_score_gemma":0.05007476,"domain_scores_codex":[0.9999226,0.000008116726,0.000003469695,0.00002033671,0.00001456149,0.00003087805],"domain_scores_gemma":[0.9998186,0.00002680857,0.0000659939,0.00001788109,0.00005025591,0.00002034244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007924655,0.00001838799,0.9706114,0.00007042737,0.00007482398,0.0004250815,0.00117169,0.004542273,0.002294438,0.001322683,0.00118041,0.01820928],"study_design_scores_gemma":[9.772569e-7,0.000005789163,0.9956322,0.000007370945,0.00001259746,0.00007011891,0.000641237,0.002617086,0.0001224117,0.0001420583,0.0007435593,0.000004427131],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984566,0.0001121197,0.0002641944,0.00003334995,0.000001722725,0.000003001444,0.000539168,0.00001482879,0.0005749606],"genre_scores_gemma":[0.9991851,0.00005863847,0.0001572142,0.000004976182,0.0000017129,0.000004982968,0.0004361988,0.000003625563,0.0001476367],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02710286,"threshold_uncertainty_score":0.05389023,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01278613465953748,"score_gpt":0.2237911179783492,"score_spread":0.2110049833188117,"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."}}