{"id":"W1414635813","doi":"","title":"Relationship Between the Landscape Structure of Urban Green Spaces and Residents’ Satisfaction: The Case of a Central District in Hanoi (Vietnam)","year":2012,"lang":"en","type":"article","venue":"Asian Journal of Geoinformatics","topic":"Urban Green Space and Health","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Geography; Quarter (Canadian coin); Space (punctuation); Research Object; Vegetation (pathology); Order (exchange); Socioeconomics; Business; Environmental planning; Computer science; Regional science; Sociology; Archaeology; Medicine","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":[0.0004229409,0.0001519981,0.0001771357,0.0005086961,0.001244735,0.0009221639,0.0004288085,0.0002789058,0.001793595],"category_scores_gemma":[0.0009810952,0.0001691419,0.0002061465,0.001106552,0.0009061888,0.0004149725,0.0006064294,0.0003315576,0.00009601594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001979627,"about_ca_system_score_gemma":0.0009836588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1825199,"about_ca_topic_score_gemma":0.2546833,"domain_scores_codex":[0.9996995,0.0001263648,0.00001008029,0.00003379796,0.00003095176,0.00009931169],"domain_scores_gemma":[0.9992825,0.0001992787,0.0001578338,0.00003211984,0.00008898164,0.0002393001],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008071132,0.000219876,0.9710387,0.00003102832,0.00004159928,0.00491612,0.01689851,0.0004482094,0.0004777618,0.0003844689,0.0001949965,0.005267948],"study_design_scores_gemma":[0.000006880325,0.0001458407,0.9184062,0.00001739211,0.00002233072,0.0009383112,0.07788853,0.001593747,0.000120602,0.0001378718,0.0007082444,0.00001405397],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9997485,0.000009370219,0.00001461495,0.00002596257,3.625025e-7,0.000002422132,0.00001183872,2.327973e-7,0.0001866326],"genre_scores_gemma":[0.9998316,0.00001588709,0.00002419797,0.000005356942,6.498548e-7,0.000002236309,0.00001495921,3.497956e-7,0.000104776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1825199,"threshold_uncertainty_score":0.3629149,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01557964687627269,"score_gpt":0.2424733217756397,"score_spread":0.226893674899367,"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."}}