{"id":"W3042300765","doi":"10.3390/ijerph17145205","title":"Designing Urban Green Space (UGS) to Enhance Health: A Methodology","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Neighbourhood (mathematics); Cohesion (chemistry); Space (punctuation); Quarter (Canadian coin); Health benefits; Urban green space; Business; Public relations; Psychology; Environmental health; Political science; Computer science; Medicine; Geography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01760205,0.001336587,0.0007172491,0.003754634,0.002658136,0.003713163,0.002123669,0.001476777,0.00581227],"category_scores_gemma":[0.01423026,0.0009001743,0.001676814,0.003221144,0.004391434,0.002196528,0.004538604,0.001587035,0.0005643944],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004487209,"about_ca_system_score_gemma":0.009146076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004794255,"about_ca_topic_score_gemma":0.0110023,"domain_scores_codex":[0.9864306,0.01076199,0.0004480193,0.001167761,0.0008846502,0.0003070031],"domain_scores_gemma":[0.9879979,0.008707885,0.0009027995,0.0008778233,0.001137629,0.000376033],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004494246,0.002057079,0.02361402,0.005755963,0.000280687,0.0008029292,0.07444821,0.02654927,0.006881143,0.3825379,0.008155296,0.468468],"study_design_scores_gemma":[0.001468689,0.003850322,0.01974909,0.003880283,0.0005589707,0.0009728437,0.106246,0.08994285,0.01291117,0.4240204,0.335951,0.0004483821],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.04388802,0.0005274664,0.9207548,0.001944187,0.00008792784,0.01598209,0.0007012794,0.0002251212,0.0158891],"genre_scores_gemma":[0.06787028,0.0003462186,0.9189203,0.0002205109,0.00000885493,0.01071038,0.0001684532,0.00003334322,0.001721614],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01760205,"threshold_uncertainty_score":0.09308958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2133990027862478,"score_gpt":0.441891477057728,"score_spread":0.2284924742714802,"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."}}