{"id":"W4313640127","doi":"10.18280/ijsdp.170834","title":"Evaluate Ho Chi Minh City Sustainability Using Fuzzy Extent Analysis Method","year":2022,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Multi-Criteria Decision Making","field":"Decision Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Ho chi minh; Sustainability; Sustainable city; Ranking (information retrieval); Sustainable development; Business; Context (archaeology); Environmental economics; Environmental planning; Accommodation; Urban planning; Economic growth; Socioeconomics; Geography; Political science; Civil engineering; Engineering; Economics; Computer science; Psychology","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":[],"consensus_categories":[],"category_scores_codex":[0.01997698,0.0002360769,0.0006081546,0.003187796,0.0007558294,0.0007887396,0.001380977,0.00005449745,0.0008661792],"category_scores_gemma":[0.005569881,0.0001982203,0.0002783976,0.001810819,0.00005497468,0.0008081367,0.00128677,0.0004563692,0.000001925078],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001341972,"about_ca_system_score_gemma":0.001083719,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005736723,"about_ca_topic_score_gemma":0.000002664157,"domain_scores_codex":[0.9920834,0.000821531,0.001810218,0.0005032219,0.004319722,0.0004619585],"domain_scores_gemma":[0.991582,0.001383925,0.001449838,0.0002677973,0.005110697,0.000205785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.001952531,0.0004018065,0.3800623,0.00003228223,0.003028499,0.01149527,0.04240157,0.4203846,0.0003683559,0.00278979,0.00242467,0.1346582],"study_design_scores_gemma":[0.002969154,0.0001790412,0.3545277,0.00007039383,0.0005119711,0.001217458,0.3199462,0.1490525,0.0005043963,0.05845739,0.1116278,0.000935963],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8309042,0.0004254676,0.1669921,0.0004486181,0.0007000511,0.0001598104,0.00000722748,0.000009852984,0.0003526259],"genre_scores_gemma":[0.9316673,0.000003627784,0.06620848,0.0001898978,0.0001476256,0.000008572748,0.000007493923,0.00001219912,0.001754794],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2775446,"threshold_uncertainty_score":0.9484054,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1528029945658695,"score_gpt":0.4666539403635747,"score_spread":0.3138509457977052,"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."}}