{"id":"W1977664010","doi":"10.1080/713676586","title":"Urban Environmental Sustainability Metrics: A Provisional Set","year":2000,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Sustainable Building Design and Assessment","field":"Engineering","cited_by":45,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"United Nations Development Programme","keywords":"Variety (cybernetics); Sustainability; Set (abstract data type); Cover (algebra); Urban sustainability; Computer science; Environmental planning; Urban area; Environmental resource management; Environmental economics; Geography; Artificial intelligence; Engineering; Environmental science; Economics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003176713,0.0001850297,0.0002002613,0.0001881814,0.00009044319,0.00005235773,0.0001367228,0.00004548263,0.0003318009],"category_scores_gemma":[0.000003084922,0.0001688745,0.00007688311,0.00007228647,0.00006191173,0.0002194512,0.0000516097,0.0001842304,0.000008794214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004333921,"about_ca_system_score_gemma":0.000006914969,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":8.037652e-7,"about_ca_topic_score_gemma":2.071117e-8,"domain_scores_codex":[0.9988332,0.00003061095,0.0003493121,0.0001553265,0.0003591294,0.000272418],"domain_scores_gemma":[0.9996284,0.00003476704,0.00006763064,0.000125859,0.000002551927,0.0001407816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005068465,0.00122328,0.09244582,0.0009697931,0.001462883,0.003041643,0.003175581,0.1252982,0.002420744,0.0004141099,0.06644244,0.7025987],"study_design_scores_gemma":[0.004328666,0.001171657,0.3473806,0.0002461292,0.000415032,0.0004689944,0.01602643,0.01532935,0.0006712065,0.001557918,0.6112485,0.001155563],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923995,0.003551894,0.001311627,0.00006988221,0.0001280788,0.0002895384,0.00001552011,0.0000387229,0.002195267],"genre_scores_gemma":[0.9965106,0.0009822396,0.001071802,0.0000573017,0.00007889779,0.000007273826,0.000006950918,0.0000219903,0.001262942],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7014431,"threshold_uncertainty_score":0.6886504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005485677905286097,"score_gpt":0.2120192583029859,"score_spread":0.2065335803976998,"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."}}