{"id":"W2603984089","doi":"10.5751/es-09168-220151","title":"Shifts in ecosystem services in deprived urban areas: understanding people’s responses and consequences for well-being","year":2017,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"European Commission; Biodiversa+; Azim Premji University; United States Agency for International Development","keywords":"Ecosystem services; Ecosystem; Urban ecosystem; Ecology; Geography; Urbanization; Environmental resource management; Environmental science; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007551954,0.0001244725,0.0002504136,0.00002287696,0.0006476146,0.0001018566,0.0001925495,0.0001771544,0.00006781416],"category_scores_gemma":[0.00002345741,0.0001065892,0.0000401413,0.00004455444,0.00008863872,0.00034218,0.000172754,0.0000962908,0.00001221684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001281728,"about_ca_system_score_gemma":0.00001458077,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009870332,"about_ca_topic_score_gemma":0.2716227,"domain_scores_codex":[0.9990085,0.00008916414,0.0002038632,0.0003357245,0.0000637203,0.0002989812],"domain_scores_gemma":[0.9992887,0.0003452534,0.0001284087,0.0001712527,0.000003489887,0.0000628778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004217745,0.000016457,0.9907237,0.0001223267,0.00001393399,0.000004307226,0.008584853,0.00001947059,0.0001434857,0.0002627077,0.00004455493,0.00002201571],"study_design_scores_gemma":[0.0008168739,0.00003952976,0.9860241,0.00008190542,0.00001197878,0.00000703803,0.005683273,0.001958926,0.00003293112,0.004793639,0.0004007622,0.0001490517],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976015,0.0001068425,0.00001443357,0.0007968833,0.0001158695,0.0002870241,0.000008367797,0.00001440175,0.001054671],"genre_scores_gemma":[0.9991242,0.000347245,0.0001921173,0.0002216929,0.00002477732,0.00004152158,0.00000425396,0.000006976327,0.00003726878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2706357,"threshold_uncertainty_score":0.7416682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02088335397586212,"score_gpt":0.2508141390628988,"score_spread":0.2299307850870367,"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."}}