{"id":"W4229050605","doi":"10.5539/jsd.v15n3p157","title":"Cost-Benefit Analysis of Green Space Investment in Residential Areas of Dar es Salaam City, Tanzania","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutscher Akademischer Austauschdienst","keywords":"Investment (military); Tanzania; Business; Cost–benefit analysis; Dar es salaam; Agricultural economics; Natural resource economics; Economics; Socioeconomics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.003117672,0.0006108612,0.0003943269,0.001856905,0.0003351155,0.001119121,0.0005942856,0.0005302411,0.004229627],"category_scores_gemma":[0.00787319,0.0003514842,0.001179349,0.001565124,0.0004124628,0.0007733032,0.0008650133,0.0005756283,0.0001484929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007394263,"about_ca_system_score_gemma":0.002149947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01848575,"about_ca_topic_score_gemma":0.02957102,"domain_scores_codex":[0.9971256,0.002083848,0.00008209736,0.00008238568,0.0003217587,0.0003043279],"domain_scores_gemma":[0.9950075,0.0037137,0.0004851325,0.0001161432,0.000480385,0.0001971601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.01000894,0.001499497,0.2360773,0.002753132,0.001576847,0.00217768,0.001366341,0.5486417,0.006058747,0.01824753,0.004281513,0.1673108],"study_design_scores_gemma":[0.0007148367,0.01106347,0.4880539,0.0007865454,0.003004628,0.001045983,0.005101539,0.4734759,0.002985406,0.00554719,0.008046624,0.000173878],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904129,0.0009373936,0.002173335,0.0003665655,0.00001791422,0.0004657977,0.0008116254,0.00001878193,0.004795601],"genre_scores_gemma":[0.9977211,0.0002456912,0.001179202,0.00002190106,0.000003344495,0.00010535,0.000151298,0.00000223332,0.0005698258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01848575,"threshold_uncertainty_score":0.05364943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01765381193691527,"score_gpt":0.2524571614665692,"score_spread":0.2348033495296539,"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."}}