{"id":"W4309283868","doi":"10.3390/rs14225834","title":"Environmental Conditions in Middle Eastern Megacities: A Comparative Spatiotemporal Analysis Using Remote Sensing Time Series","year":2022,"lang":"en","type":"article","venue":"Remote Sensing","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Centre for Interdisciplinary Research in Rehabilitation","funders":"","keywords":"Megacity; Geography; Sustainability; Index (typography); Environmental protection; Environmental planning; Environmental science; Environmental resource management; Economy; Computer science","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":[0.0004261565,0.0002517579,0.0002861106,0.002791835,0.000257208,0.0008655698,0.0003100543,0.0003206912,0.0005514302],"category_scores_gemma":[0.0009211975,0.0001218319,0.0006274841,0.004229219,0.0002307809,0.0007545236,0.0004992204,0.0002322198,0.0001195696],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005143177,"about_ca_system_score_gemma":0.0003335419,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04521686,"about_ca_topic_score_gemma":0.04530587,"domain_scores_codex":[0.9997591,0.00003298691,0.00003563245,0.00006143814,0.00006562127,0.00004510437],"domain_scores_gemma":[0.9995862,0.00008519577,0.0001354147,0.00004159144,0.0001140618,0.00003766562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001161095,0.000075279,0.9715238,0.0001275342,0.0003498077,0.0007012283,0.0009712555,0.003867876,0.00113028,0.0004524496,0.001083054,0.01960126],"study_design_scores_gemma":[0.000001701826,0.00002622307,0.9893919,0.00001951145,0.00007020931,0.0001209372,0.001770199,0.007086397,0.0002071999,0.00007297273,0.001219618,0.00001311491],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963456,0.0003399062,0.0005563495,0.00009147043,0.000008922936,0.00001232645,0.001828923,0.0000209503,0.0007955085],"genre_scores_gemma":[0.9965396,0.0003212356,0.0005220208,0.00001415919,0.0000128025,0.00001735605,0.002410277,0.000004586158,0.0001579426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04521686,"threshold_uncertainty_score":0.08990735,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02684612415306899,"score_gpt":0.2385330137502167,"score_spread":0.2116868895971477,"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."}}