{"id":"W4213225099","doi":"10.5539/jsd.v15n2p144","title":"Understanding the Linkages and Importance of Urban Greenspaces for Achieving Sustainable Development Goals 2030","year":2022,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"RMIT University","keywords":"Sustainable development; Urban planning; Environmental planning; Urban environment; Regional science; Geography; Ecology; Biology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003586344,0.0002061346,0.0003742968,0.0001912519,0.001628739,0.00006328112,0.000433888,0.00004670325,0.0002399242],"category_scores_gemma":[0.0001072504,0.0001570892,0.00007312425,0.0004707939,0.0001458359,0.0003807014,0.0006666232,0.0003234832,0.000001131551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00273863,"about_ca_system_score_gemma":0.0008216383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008271838,"about_ca_topic_score_gemma":0.00008469347,"domain_scores_codex":[0.9973601,0.00009518939,0.0008103251,0.0002411678,0.0007453405,0.0007478731],"domain_scores_gemma":[0.9984419,0.0002064524,0.0009000184,0.0001715243,0.0001148468,0.0001652234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001165347,0.0001373517,0.9470756,0.000401382,0.0001217509,0.0002256438,0.02463199,0.001118599,0.0001667997,0.003736402,0.02175793,0.0005100352],"study_design_scores_gemma":[0.001411935,0.0005596181,0.3560752,0.00006593167,0.00006074649,0.0001134857,0.3671335,0.00006743974,0.0005214636,0.002547937,0.2709911,0.0004516365],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888476,0.001496763,0.005179136,0.002870702,0.00008658024,0.0008826503,0.000001721116,0.0000116314,0.0006232669],"genre_scores_gemma":[0.9814771,0.00007796564,0.006561938,0.0003016371,0.0000442713,0.00006279748,0.000002332996,0.00002566236,0.0114463],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5910004,"threshold_uncertainty_score":0.999671,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0350365136618728,"score_gpt":0.2501028769980785,"score_spread":0.2150663633362057,"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."}}