{"id":"W4412754790","doi":"10.11159/iccste25.242","title":"Monitoring Vegetation, Water, and Land Surface Temperature in Dubai and Muscat Over Three Time Periods","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Environmental science; Remote sensing; Hydrology (agriculture); Physical geography; Geology; Geography; Geotechnical engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0001888606,0.0003517676,0.0001898419,0.0009424157,0.0004713271,0.0005039419,0.0002831314,0.0003023337,0.0005413931],"category_scores_gemma":[0.000208583,0.0001010636,0.0002423333,0.0008690108,0.0002606557,0.0003047457,0.0003777857,0.0001828585,0.0001700816],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006968623,"about_ca_system_score_gemma":0.0004755831,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02947026,"about_ca_topic_score_gemma":0.08312776,"domain_scores_codex":[0.9998878,0.00002082364,0.000006680532,0.00003413079,0.00002517257,0.00002535159],"domain_scores_gemma":[0.9998571,0.00001698469,0.00003910778,0.00001236094,0.00004737194,0.00002713613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001779905,0.0001686279,0.9450787,0.0001556303,0.000208856,0.0007559669,0.002304248,0.002450342,0.01502567,0.0002653603,0.00118932,0.03221918],"study_design_scores_gemma":[0.000003885743,0.00003203538,0.9929946,0.000009037821,0.00002928606,0.0001165696,0.001422417,0.001746271,0.001285283,0.00002685961,0.002322193,0.00001164942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997523,0.0001624339,0.0002728362,0.00003602549,0.000005205708,0.0000184892,0.0006336672,0.00001771177,0.001330651],"genre_scores_gemma":[0.99593,0.0001643396,0.001445421,0.0000285936,0.00001081032,0.00005043191,0.001342249,0.000004591971,0.001023567],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02947026,"threshold_uncertainty_score":0.05859745,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006825987617263026,"score_gpt":0.1973315043568228,"score_spread":0.1905055167395598,"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."}}