{"id":"W4364381042","doi":"10.18280/ijsdp.180322","title":"Evolution of Thailand's Eco-Industrial Towns Development: Challenging and Obstacles","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Economic Zones and Regional Development","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Environmental planning; Geography; Environmental resource management; Architectural engineering; Environmental science; Engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005248117,0.0001339139,0.00008823937,0.0009957678,0.0009102369,0.002864102,0.0002825516,0.0002122012,0.003447165],"category_scores_gemma":[0.001340926,0.0001215453,0.0001071704,0.002492732,0.000820833,0.0009211071,0.001236606,0.0003849111,0.0002768399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002426206,"about_ca_system_score_gemma":0.002310293,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03362273,"about_ca_topic_score_gemma":0.06118968,"domain_scores_codex":[0.9996287,0.00009515126,0.00002291381,0.00005023649,0.00008975511,0.0001133068],"domain_scores_gemma":[0.9986344,0.0002228752,0.000388386,0.00004596848,0.0003453458,0.0003630209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.000188601,0.0001415695,0.843757,0.000351877,0.00005497083,0.004949431,0.02440091,0.004913285,0.003002331,0.03215778,0.006888007,0.07919428],"study_design_scores_gemma":[0.000007292217,0.0001269137,0.8769698,0.00009659932,0.00002001807,0.0009289779,0.06115417,0.002419391,0.0009387587,0.00154969,0.05574723,0.0000412172],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9696358,0.0003456399,0.000489162,0.0007602472,0.00001337258,0.00002856207,0.0007513583,0.00002084033,0.02795496],"genre_scores_gemma":[0.9960688,0.0003039335,0.0003037975,0.00002290571,0.00000470228,0.000008347834,0.0002000881,0.000004489489,0.003082713],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03362273,"threshold_uncertainty_score":0.06685406,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04556713951628025,"score_gpt":0.2304093012707297,"score_spread":0.1848421617544495,"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."}}