{"id":"W2038096951","doi":"10.1111/j.1944-8287.2007.tb00378.x","title":"Recovering from Crisis: The Case of Thailand's Spatial Fix","year":2007,"lang":"en","type":"article","venue":"Economic Geography","topic":"Southeast Asian Sociopolitical Studies","field":"Social Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Appropriation; Centrality; Decentralization; Investment (military); Politics; Work (physics); Economic system; Economic geography; Economics; Economy; Political science; Development economics; Market economy","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007159864,0.00008676951,0.0001636691,0.00005272599,0.0004270132,0.00003568122,0.0001974049,0.00006857696,0.0006196108],"category_scores_gemma":[0.00005959388,0.00007034746,0.0001788224,0.00007936358,0.0004384478,0.00006997832,0.00005477219,0.00009451691,0.00008050745],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005073274,"about_ca_system_score_gemma":0.00002814173,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1434858,"about_ca_topic_score_gemma":0.0448636,"domain_scores_codex":[0.9991165,0.0000708071,0.0002391153,0.0001749894,0.00006607871,0.0003324401],"domain_scores_gemma":[0.9992043,0.0004065681,0.00009579158,0.0001796034,0.0000218621,0.00009184968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00008377792,0.00008872777,0.8052828,0.00001087416,0.0005956097,0.000157955,0.1077379,0.00001739536,0.000006888953,0.04443873,0.005213383,0.03636597],"study_design_scores_gemma":[0.0007669548,0.00006423372,0.3570994,0.00002354613,0.0001079357,0.0000118074,0.5214421,0.0000361412,0.000197832,0.06832761,0.05143696,0.0004854377],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9361302,0.0003181763,0.0001700732,0.00145878,0.0006082648,0.0001323081,0.00006641215,0.00003901935,0.06107673],"genre_scores_gemma":[0.9990569,0.00002845847,0.000135543,0.0001270496,0.0006148347,0.000005810515,0.000001548674,0.000007130541,0.00002266868],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4481834,"threshold_uncertainty_score":0.9725652,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01248015894493675,"score_gpt":0.2750409732069248,"score_spread":0.2625608142619881,"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."}}