{"id":"W2415632630","doi":"10.2495/sdp-v11-n2-160-171","title":"Dynamic and multiscale analysis of vegetation cover: Mexicali, B.C. Mexico","year":2016,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vegetation (pathology); Cover (algebra); Vegetation cover; Environmental science; Geography; Hydrology (agriculture); Forestry; Physical geography; Geology; Land use; Engineering; Civil engineering; 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":[0.0001053799,0.0001629117,0.0001360439,0.001153431,0.0004796764,0.000495446,0.0001758607,0.0001592764,0.0005531905],"category_scores_gemma":[0.0001891353,0.00008305745,0.000219902,0.001269806,0.0001316799,0.0001777851,0.0002682694,0.0001311342,0.00004933675],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008993252,"about_ca_system_score_gemma":0.0003312597,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1215533,"about_ca_topic_score_gemma":0.2254813,"domain_scores_codex":[0.9999563,0.00000366689,0.000001711063,0.00001607956,0.000008793493,0.00001351757],"domain_scores_gemma":[0.9999421,0.000007891063,0.00001857477,0.000003911176,0.00002102276,0.000006572288],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001011276,0.00007520681,0.9357098,0.0001155859,0.0001200181,0.0007645015,0.001030114,0.005720582,0.006400833,0.0009069239,0.002597773,0.04645751],"study_design_scores_gemma":[0.000001708272,0.000006517705,0.9943904,0.000007171971,0.00001858112,0.00004621901,0.0005151886,0.003175425,0.0002242488,0.00003913272,0.001572227,0.000003167419],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9956723,0.0003189392,0.0007153876,0.00009384326,0.000005881106,0.00001184414,0.001367748,0.00002547867,0.00178843],"genre_scores_gemma":[0.9954596,0.0002816174,0.001903409,0.000009732434,0.000007664703,0.00002518109,0.001493006,0.000007970927,0.0008117016],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1215533,"threshold_uncertainty_score":0.2416916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006573951530332787,"score_gpt":0.2337845056681623,"score_spread":0.2272105541378295,"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."}}