{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002069116,0.0004431428,0.0002481496,0.0007584676,0.0005292277,0.002017351,0.0005875147,0.0004656403,0.07363571],"category_scores_gemma":[0.0004274442,0.0002549892,0.0002944946,0.002007516,0.0003270875,0.001289195,0.0007399127,0.0007897776,0.02114135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007572702,"about_ca_system_score_gemma":0.0008596837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003675162,"about_ca_topic_score_gemma":0.008037269,"domain_scores_codex":[0.9998389,0.00002115969,0.000005787149,0.00002648806,0.00009211745,0.00001538077],"domain_scores_gemma":[0.9999079,0.00002126516,0.000004795631,0.00002026648,0.00003498557,0.00001079083],"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":[0.000009461287,0.00002233241,0.0003025318,0.000200668,0.00001181356,0.00008879031,0.0001647033,0.009035023,0.0006596262,0.147494,0.3319662,0.5100448],"study_design_scores_gemma":[0.00000116998,0.000003507232,0.0002605278,0.00005445903,0.000001522098,0.0000478023,0.0000477016,0.000909329,0.0001463519,0.01967213,0.978852,0.000003516419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.001170643,0.008199628,0.03123269,0.001408271,0.0006572422,0.0000944107,0.002227183,0.0007498351,0.9542601],"genre_scores_gemma":[0.02710326,0.01546277,0.02941655,0.0005058327,0.0001888991,0.0001416395,0.004099337,0.0003954558,0.9226863],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.07363571,"threshold_uncertainty_score":0.246336,"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."}}