{"id":"W3215187646","doi":"10.3390/f12121625","title":"Recreational Services from Green Space in Beijing: Where Supply and Demand Meet?","year":2021,"lang":"en","type":"article","venue":"Forests","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; Beijing Forestry University","keywords":"Ecosystem services; Recreation; Beijing; Supply and demand; Environmental resource management; Business; Geography; China; Ecology; Environmental science; Ecosystem; Economics","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":[0.0001587856,0.0001996994,0.0002345894,0.0007148764,0.0005186415,0.000879362,0.0003806792,0.0002717618,0.003715082],"category_scores_gemma":[0.0006092298,0.0001574044,0.0001877997,0.002208704,0.0004293126,0.001169995,0.0008788849,0.0002257473,0.0002522514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002397225,"about_ca_system_score_gemma":0.00105944,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0634578,"about_ca_topic_score_gemma":0.1751336,"domain_scores_codex":[0.9997734,0.00004078227,0.00001882043,0.00003742798,0.00005726221,0.00007229459],"domain_scores_gemma":[0.9996901,0.00004689189,0.00007519525,0.00001828167,0.00006684472,0.0001027669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001059976,0.00005587013,0.9438077,0.0002236984,0.00008464933,0.0009875555,0.003538271,0.001500369,0.00197605,0.001850561,0.00241476,0.04345449],"study_design_scores_gemma":[0.000004059214,0.00002410457,0.9844272,0.00002993018,0.00001955239,0.0001847926,0.006935748,0.003786954,0.0001764362,0.0007865534,0.003610709,0.00001397499],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954494,0.000289238,0.0002688987,0.0004922349,0.000005316021,0.000008424375,0.0005688255,0.00000916676,0.002908579],"genre_scores_gemma":[0.998874,0.0001403893,0.000111424,0.00002762005,0.000003412242,0.000006243968,0.0002378495,0.000003171887,0.0005958317],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0634578,"threshold_uncertainty_score":0.1261768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005304825341034214,"score_gpt":0.2001720535952733,"score_spread":0.1948672282542391,"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."}}