{"id":"W2484803562","doi":"10.3390/f7080162","title":"Exploring Relationships between Socioeconomic Background and Urban Greenery in Portland, OR","year":2016,"lang":"en","type":"article","venue":"Forests","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Socioeconomic status; Recreation; Geography; Metropolitan area; Urban ecology; Vegetation (pathology); Census; Urban forestry; Household income; Green infrastructure; Socioeconomics; Urban area; Urban ecosystem; Population; Urban planning; Environmental planning; Ecology; Environmental health; Urbanization","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":[0.0003509933,0.0001638745,0.0001029542,0.0006411985,0.0004696142,0.0005534057,0.0002401345,0.0001487989,0.002646144],"category_scores_gemma":[0.001208425,0.0001144949,0.0001864338,0.0007999128,0.000264946,0.0004680784,0.0006383531,0.0002879515,0.000158851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003372883,"about_ca_system_score_gemma":0.0002718346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0312857,"about_ca_topic_score_gemma":0.0784349,"domain_scores_codex":[0.999871,0.0000480305,0.000009068309,0.00002022889,0.00001771517,0.00003391604],"domain_scores_gemma":[0.9995909,0.0001047532,0.0001501581,0.00002693181,0.00003602403,0.00009129874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004152163,0.00007170074,0.9964505,0.0000045579,0.00001912287,0.00009318885,0.000599777,0.00006223561,0.00009839767,0.00007982024,0.00008090993,0.002398259],"study_design_scores_gemma":[0.000001298561,0.00003053777,0.9973133,0.000005278423,0.000006664138,0.00003375075,0.002143613,0.0002694248,0.00002996328,0.00004139652,0.0001231001,0.000001699559],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994785,0.00001107108,0.000026664,0.00002748101,8.354283e-7,0.000002043851,0.00006256479,4.872188e-7,0.0003902954],"genre_scores_gemma":[0.9997017,0.00002331999,0.00004338033,0.000006987349,0.000001772237,0.000004590857,0.00006137334,6.441822e-7,0.000156232],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0312857,"threshold_uncertainty_score":0.06220722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1960513573013179,"score_gpt":0.2867863969745584,"score_spread":0.09073503967324051,"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."}}