{"id":"W4205417993","doi":"10.32920/ryerson.14657841","title":"Top Marks for Quality Parks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; Toronto Metropolitan University","funders":"","keywords":"Plan (archaeology); Quality (philosophy); Public park; Scale (ratio); Environmental planning; Geography; Urban park; Environmental resource management; Business; Cartography; Archaeology; Environmental science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001455908,0.0003164783,0.0001925724,0.001141396,0.003146833,0.005415612,0.0006313409,0.0007799014,0.1425554],"category_scores_gemma":[0.005074068,0.0002132339,0.0002806628,0.001462811,0.0015341,0.001494443,0.002659927,0.001308512,0.01888779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004338965,"about_ca_system_score_gemma":0.003498879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04410145,"about_ca_topic_score_gemma":0.2090059,"domain_scores_codex":[0.9974956,0.0003109505,0.00007997554,0.0001780006,0.001543394,0.0003920886],"domain_scores_gemma":[0.9951591,0.0003505038,0.0004155545,0.0006061059,0.001905428,0.001563311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001645279,0.0001021664,0.01560905,0.0005198168,0.0000147484,0.0004933709,0.009001479,0.0002841931,0.002869068,0.09291442,0.6964995,0.1815277],"study_design_scores_gemma":[0.00001336763,0.0001343872,0.0416915,0.000151252,0.000008218399,0.0002019853,0.006136957,0.0001241987,0.0008030682,0.002625395,0.9480848,0.00002487628],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.07465161,0.001639944,0.006212871,0.01380478,0.004140109,0.0006481008,0.004112167,0.000880566,0.8939098],"genre_scores_gemma":[0.2872816,0.001089289,0.01514533,0.001860841,0.0004323004,0.0002990983,0.002623661,0.0003987276,0.6908692],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1425554,"threshold_uncertainty_score":0.4768955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04686985837493116,"score_gpt":0.3338311460566609,"score_spread":0.2869612876817297,"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."}}