{"id":"W4382366242","doi":"10.1525/sod.2023.9.2.131","title":"From Booms to Bans","year":2023,"lang":"en","type":"article","venue":"Sociology of Development","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Authoritarianism; Corporate governance; Business; Incentive; State (computer science); Government (linguistics); Revenue; Central government; Politics; Enforcement; Environmental governance; Sustainability; Local government; Public economics; Economics; Political science; Democracy; Public administration; Market economy; Finance","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003623715,0.0003898208,0.0003683323,0.00157077,0.005319769,0.00767281,0.001106769,0.001936315,0.01461132],"category_scores_gemma":[0.0103108,0.0003907826,0.0003610966,0.002077871,0.01637524,0.00935046,0.005426167,0.005333099,0.001099979],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004311084,"about_ca_system_score_gemma":0.002922854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009716153,"about_ca_topic_score_gemma":0.01159716,"domain_scores_codex":[0.9960594,0.001393466,0.000162316,0.0008318875,0.0006950687,0.0008578288],"domain_scores_gemma":[0.9942102,0.002605998,0.001075556,0.0009272157,0.0006738309,0.0005072145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00003854156,0.00003928992,0.004892088,0.0001007218,0.00001053148,0.0002213064,0.018937,0.000279444,0.0004281914,0.9385034,0.01134897,0.02520055],"study_design_scores_gemma":[0.00002578515,0.00008633923,0.009372447,0.0006121499,0.00002412752,0.0003841983,0.03717735,0.000768165,0.0009236675,0.2502653,0.700299,0.00006146928],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2111995,0.003500728,0.0127422,0.02793961,0.0007869767,0.0000740063,0.0003388853,0.0002458675,0.7431722],"genre_scores_gemma":[0.9471576,0.001427491,0.001723691,0.005143553,0.0002560207,0.00007691146,0.0001566294,0.0001629597,0.04389518],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01461132,"threshold_uncertainty_score":0.04887968,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04588566267466781,"score_gpt":0.3576292298156656,"score_spread":0.3117435671409978,"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."}}