{"id":"W4409211713","doi":"10.18280/ijsdp.200335","title":"Shaping Sustainability in Southeast Asia: How ESG Scores, Supply Chain Practices, and Gender-Diverse Boards Drive Investment Decisions","year":2025,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"International Development and Aid","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Binus University","keywords":"Sustainability; Supply chain; Business; Southeast asia; Investment (military); Supply chain management; Chain (unit); Environmental economics; Environmental resource management; Natural resource economics; Environmental planning; Economics; Geography; Political science; Marketing; Politics; Ecology","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":[0.001041984,0.0001524184,0.0001161294,0.0005402654,0.0002612894,0.0009618946,0.0001269659,0.0001647397,0.001739643],"category_scores_gemma":[0.002695,0.00007487021,0.0001408354,0.0007482796,0.0003360359,0.000588094,0.0006378204,0.0002737749,0.0001962081],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004721086,"about_ca_system_score_gemma":0.0004497461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01321399,"about_ca_topic_score_gemma":0.02961394,"domain_scores_codex":[0.9996219,0.0001552264,0.00003368728,0.00005198566,0.00006053173,0.00007659996],"domain_scores_gemma":[0.9970258,0.0007258709,0.001689277,0.0001177783,0.0001939615,0.0002472972],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000118497,0.00001583326,0.9954941,0.000004548045,0.00001229808,0.00003080319,0.0006404404,0.00009400766,0.00008779223,0.00009864874,0.00007767182,0.003431943],"study_design_scores_gemma":[0.000001069224,0.00002828791,0.9943586,0.00001581964,0.00001246776,0.00002141903,0.003861182,0.0005206916,0.0001563045,0.000206494,0.0008144253,0.000003124073],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986631,0.00004000081,0.00007722605,0.00007051826,0.000001355844,0.000002675628,0.0001075432,6.551189e-7,0.001037075],"genre_scores_gemma":[0.9993988,0.00005232099,0.00006214278,0.00001499719,0.0000017129,0.000002382919,0.0001575553,4.709421e-7,0.0003096531],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321399,"threshold_uncertainty_score":0.02627414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04887826889093114,"score_gpt":0.3417251920318672,"score_spread":0.2928469231409361,"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."}}