{"id":"W2476153652","doi":"10.5772/2728","title":"Environmental Land Use Planning","year":2012,"lang":"en","type":"book","venue":"InTech eBooks","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Geological Survey; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro; Bundesministerium für Bildung und Forschung; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Deutscher Akademischer Austauschdienst","keywords":"Environmental planning; Ecological footprint; Globe; Land use; China; Geography; Environmental resource management; Environmental impact assessment; Environmental studies; Land-use planning; Field (mathematics); Regional science; Environmental protection; Sustainable development; Political science; Environmental science; Engineering; Civil engineering","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000124032,0.0003174228,0.0002806243,0.00004244468,0.0001093681,0.00006903047,0.0003459747,0.000341354,0.004147764],"category_scores_gemma":[0.000002502215,0.0002573022,0.0001105564,0.00000876741,0.00004485137,0.0001695206,0.0003011361,0.0003380479,0.006467605],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003210703,"about_ca_system_score_gemma":0.00001216951,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001404067,"about_ca_topic_score_gemma":0.000151005,"domain_scores_codex":[0.9986414,0.00002267975,0.0002610155,0.0003521125,0.0003260055,0.0003968441],"domain_scores_gemma":[0.9992328,0.00005383858,0.0001572046,0.0003960864,0.000001190307,0.0001589238],"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":[0.0002823005,0.000360494,0.773694,0.0006297374,0.0008953527,0.0009095497,0.007942158,0.00009854031,0.02888116,0.00009855755,0.1295717,0.05663651],"study_design_scores_gemma":[0.0001780609,0.00004369402,0.003102263,0.0001943379,0.00006632605,0.0000474322,0.00001791523,0.0000162593,0.002583497,0.0004168682,0.9928477,0.0004856643],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1037892,0.0002120558,0.0000412427,0.000007794196,0.0004261127,0.0003096705,0.00009098116,0.0001230563,0.8949999],"genre_scores_gemma":[0.5382297,0.000006860569,0.00007296299,0.0002088741,0.0003097506,0.00002317126,0.00006985567,0.00006145542,0.4610173],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.863276,"threshold_uncertainty_score":0.9999879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01893005134041585,"score_gpt":0.2123355985498642,"score_spread":0.1934055472094484,"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."}}