{"id":"W2100007036","doi":"","title":"Sustainable Urban Forest Management Planning Using Criteria and Indicators","year":2010,"lang":"en","type":"article","venue":"Cities and the Environment","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Strategic planning; Sustainability; Plan (archaeology); Sustainable forest management; Environmental planning; Business; Urban forest; Forest management; Environmental resource management; Urban planning; Engineering; Geography; Forestry; Environmental science; 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":[],"consensus_categories":[],"category_scores_codex":[0.0002946344,0.0001108483,0.0001090517,0.00002966366,0.0004281527,0.00005571158,0.00009715571,0.00003839564,0.0005537574],"category_scores_gemma":[0.000002126473,0.00007743671,0.00001884244,0.00003712769,0.000686105,0.000102987,0.0003778095,0.0001299634,0.00001436095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004432804,"about_ca_system_score_gemma":0.000001959873,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004835342,"about_ca_topic_score_gemma":0.00003477164,"domain_scores_codex":[0.999237,0.0000245798,0.0001091314,0.000198423,0.000144436,0.0002864238],"domain_scores_gemma":[0.9996438,0.00002526664,0.00004956422,0.0001871743,4.208975e-7,0.00009375382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003272859,0.00002071356,0.9811839,0.00003658732,0.00001814793,0.00001854886,0.003374934,0.0002031671,0.0001076429,0.01254395,0.001302465,0.001157159],"study_design_scores_gemma":[0.001736164,0.0000835893,0.8264256,0.000020912,0.00008414558,0.00002031742,0.01202345,0.003049687,0.00003409512,0.007089871,0.1490671,0.0003650721],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947267,0.0002762409,0.0001617412,0.0003858468,0.0000499523,0.000262633,0.000001667634,0.00001015418,0.004125079],"genre_scores_gemma":[0.9949328,0.0001571771,0.0006479804,0.0003020771,0.00004342884,0.00001864727,0.000001438342,0.00001113418,0.003885313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1547584,"threshold_uncertainty_score":0.6063255,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008226131987157794,"score_gpt":0.2202943661162653,"score_spread":0.2120682341291075,"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."}}