{"id":"W4303188275","doi":"10.1080/02723638.2022.2125669","title":"Border troubles: urban nature and the remaking of public/private divides","year":2022,"lang":"en","type":"article","venue":"Urban Geography","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Ministerio de Ciencia e Innovación; Horizon 2020; Ministerio de Economía y Competitividad; European Commission","keywords":"Politics; Stewardship (theology); Public space; Accountability; Corporate governance; Sociology; Space (punctuation); Psychological intervention; Public administration; Political science; Public relations; Business; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003589396,0.0001773904,0.0003091343,0.001049234,0.007168453,0.009476305,0.001007866,0.002378928,0.006724862],"category_scores_gemma":[0.00495609,0.0002372687,0.0003268235,0.00106017,0.0518839,0.007276963,0.008585396,0.001859247,0.0002589819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005134138,"about_ca_system_score_gemma":0.003875949,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009634862,"about_ca_topic_score_gemma":0.02294946,"domain_scores_codex":[0.9960663,0.002695985,0.00007255974,0.0003568101,0.0002810725,0.0005273497],"domain_scores_gemma":[0.9968622,0.001530298,0.0005448872,0.0004642905,0.0001782493,0.0004200858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00004461388,0.00004335229,0.009008965,0.00008307783,0.000009384911,0.0003743611,0.09316784,0.0005149756,0.0004409309,0.8784884,0.001930144,0.01589393],"study_design_scores_gemma":[0.00003557431,0.00009326219,0.0238601,0.0004004625,0.00001913911,0.0004196959,0.3815648,0.0009297566,0.0007745142,0.4239444,0.1679136,0.000044778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5935745,0.002284938,0.02297772,0.04155337,0.0003523773,0.00009984367,0.00006024356,0.00007387772,0.3390231],"genre_scores_gemma":[0.9948009,0.0001923197,0.0009473576,0.0004086425,0.00001853522,0.00001630918,0.000006459598,0.0000119536,0.003597479],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009634862,"threshold_uncertainty_score":0.03725094,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008742177647066298,"score_gpt":0.2326207747060494,"score_spread":0.2238785970589831,"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."}}