{"id":"W7128535943","doi":"10.64903/arwg.1480-6800.17.2.150","title":"Vegetation Cover Monitoring in the Abu Dhabi Region Using GIS and Remote Sensing, 1973–2010","year":2014,"lang":"","type":"article","venue":"Arab world geographer","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Abu dhabi; Satellite imagery; Vegetation cover; Thematic Mapper; Normalized Difference Vegetation Index; Land cover","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":[0.000167983,0.0002341981,0.0001105627,0.001540667,0.0004642993,0.0003618156,0.0001992625,0.0002196813,0.0006205634],"category_scores_gemma":[0.0002867816,0.0002186128,0.0001663039,0.003433523,0.0002234198,0.0003833176,0.0003128114,0.0001666167,0.0002659421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001352129,"about_ca_system_score_gemma":0.0009770553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1581405,"about_ca_topic_score_gemma":0.3509933,"domain_scores_codex":[0.9999063,0.00001937578,0.000009297923,0.00001545285,0.00002937986,0.00002029492],"domain_scores_gemma":[0.9998671,0.00001837512,0.00003955249,0.000008505825,0.00005339905,0.00001308152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002768095,0.0001351093,0.9071506,0.0003680324,0.0001806219,0.00113057,0.00311717,0.001988064,0.01724413,0.0005199864,0.002779027,0.06511001],"study_design_scores_gemma":[0.000007484558,0.00003636042,0.9886071,0.00002950963,0.00003009433,0.0002955034,0.001880824,0.00105373,0.001811685,0.00004255742,0.006192786,0.00001231254],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9944019,0.0006194106,0.000254287,0.0001043236,0.000006719496,0.00004001006,0.002083618,0.0000139307,0.002475903],"genre_scores_gemma":[0.9926183,0.001078499,0.001983219,0.00005686346,0.00000792314,0.0000529474,0.002637545,0.000003600358,0.001561109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1581405,"threshold_uncertainty_score":0.3144401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01304794534213779,"score_gpt":0.2259124504281635,"score_spread":0.2128645050860257,"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."}}