{"id":"W1860793499","doi":"","title":"Healthy Outside-Healthy Inside: The Human Health & Well-being Benefits of Alberta's Protected Areas - towards a benefits-based management agenda","year":2015,"lang":"en","type":"article","venue":"","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Health benefits; Environmental planning; Political science; Business; Public administration; Environmental resource management; Geography; Medicine; Economics","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":[0.003388263,0.0006797347,0.0004113927,0.001366682,0.00748882,0.01623355,0.00213918,0.005924851,0.005715692],"category_scores_gemma":[0.003542793,0.0002800969,0.0003812194,0.00200191,0.01341878,0.004926356,0.007261629,0.005441561,0.0002734906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03436534,"about_ca_system_score_gemma":0.09250969,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7467886,"about_ca_topic_score_gemma":0.9436712,"domain_scores_codex":[0.997995,0.0003935517,0.00003130475,0.00009186666,0.000784724,0.0007036246],"domain_scores_gemma":[0.9963085,0.0006218773,0.0001992293,0.0001135714,0.0009720124,0.001784861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001702553,0.0002585699,0.02093993,0.0007445769,0.0001004513,0.0007437845,0.01566347,0.002728828,0.001374469,0.6117085,0.1683505,0.1772166],"study_design_scores_gemma":[0.0000397497,0.0001235585,0.06837735,0.002902503,0.00014371,0.0002373772,0.09810252,0.001723878,0.0009857801,0.16203,0.6651651,0.0001684729],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.0568568,0.02160952,0.003463667,0.7288119,0.002438496,0.00007815728,0.0002748258,0.00008154197,0.186385],"genre_scores_gemma":[0.8656231,0.01796139,0.006124462,0.05765164,0.001000282,0.00007512978,0.0001891023,0.00004643028,0.05132841],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2532114,"threshold_uncertainty_score":0.5094053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04541714512734431,"score_gpt":0.2916820071972979,"score_spread":0.2462648620699536,"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."}}