{"id":"W1951491299","doi":"10.1002/9781118991978.hces178","title":"Development and Validation of an Ecosystem Sustainability Indicator for Metropolitan Areas: A Case Study","year":2015,"lang":"en","type":"other","venue":"Handbook of Clean Energy Systems","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Statistics Canada","funders":"National Aeronautics and Space Administration","keywords":"Metropolitan area; Land cover; Environmental resource management; Geography; Sustainability; Population; Land use; Ecosystem services; Impervious surface; Environmental science; Cartography; Remote sensing; Ecosystem; Ecology; Civil engineering; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008858637,0.0002796501,0.0007308605,0.0001674825,0.00006662004,0.00002707123,0.0002248881,0.0002012104,0.00009157932],"category_scores_gemma":[0.00001512092,0.0002212955,0.00004904296,0.0001102147,0.00003183772,0.0001072068,0.0001179974,0.00003904904,0.000004444932],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004401747,"about_ca_system_score_gemma":0.00009899049,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02559027,"about_ca_topic_score_gemma":0.06386413,"domain_scores_codex":[0.9979572,0.0002283146,0.0007033328,0.0004657111,0.0004020977,0.0002433437],"domain_scores_gemma":[0.9984061,0.00003962088,0.0008077451,0.0004891143,0.00005275763,0.0002047362],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002637146,0.01859243,0.3945646,0.09853663,0.01108982,0.003242715,0.1066419,0.005911232,0.0003726466,0.001831272,0.2410484,0.1155312],"study_design_scores_gemma":[0.006714338,0.00298216,0.0003415643,0.00323304,0.0008125807,0.0007434199,0.2384617,0.003643719,0.009155539,0.0001136114,0.7316659,0.002132422],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.981418,0.0009152368,0.000489349,0.000002061079,0.0002905901,0.002007056,0.0002340869,0.00008059089,0.01456303],"genre_scores_gemma":[0.9949825,0.00000993428,0.0002313534,0.000002458663,0.0001055795,0.0001958914,0.00007405138,0.0001367625,0.004261426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4906175,"threshold_uncertainty_score":0.9808984,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01438770280028623,"score_gpt":0.2463289891779839,"score_spread":0.2319412863776977,"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."}}