{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005635921,0.00008999982,0.00009321183,0.0000552935,0.00005048656,0.00007661674,0.0000650135,0.00003888012,0.00001558687],"category_scores_gemma":[0.000008918565,0.00005589642,0.00001375299,0.00005441583,0.00002733172,0.0001629459,0.00000350417,0.0001032197,1.856662e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000002924457,"about_ca_system_score_gemma":0.000006129117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000256707,"about_ca_topic_score_gemma":0.0003805474,"domain_scores_codex":[0.999546,0.00000151804,0.0001265493,0.0001333094,0.0001116594,0.00008096878],"domain_scores_gemma":[0.9998533,0.00001900213,0.0000282648,0.00002027442,0.00005540174,0.00002381916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003357791,0.000001525098,0.9744279,0.00008066365,0.00001936741,5.356892e-7,0.0006757489,0.002937894,0.01844084,0.0007638852,0.0000012005,0.002616871],"study_design_scores_gemma":[0.0002336227,0.00001282524,0.9435595,0.0002412902,0.000007554853,0.000002457146,0.00004566798,0.05176217,0.003416499,0.0006399843,0.00001200749,0.00006640887],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988419,0.0001389583,0.00000162335,0.0003778795,0.0001707925,0.00006460502,0.000009948917,0.00001174329,0.000382557],"genre_scores_gemma":[0.9996819,0.00009824062,0.0001170104,0.00001267774,0.0000203863,1.907729e-7,0.00001087073,0.000001901921,0.00005684701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04882427,"threshold_uncertainty_score":0.227939,"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."}}