{"id":"W2012675256","doi":"10.1080/09640568.2014.945995","title":"Planning for global environmental change in Bangkok's informal settlements","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Planning and Management","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University; University of Toronto","funders":"National Institute of Development Administration","keywords":"Climate change; Livelihood; Flood myth; Vulnerability (computing); Environmental planning; Geography; Political science; Human settlement; Elite; Flooding (psychology); Environmental resource management; Economic growth; Agriculture; Economics; Politics; Ecology","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":[0.001434457,0.00036167,0.000169801,0.0005676226,0.004789811,0.005108252,0.0006256194,0.0005629508,0.005927376],"category_scores_gemma":[0.001073189,0.0002805189,0.0002045052,0.001613507,0.004909357,0.002254006,0.005139775,0.001212042,0.0003117138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007322345,"about_ca_system_score_gemma":0.01073177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06790769,"about_ca_topic_score_gemma":0.1930166,"domain_scores_codex":[0.9992878,0.0003445302,0.00002893569,0.00005490296,0.00004738612,0.0002364174],"domain_scores_gemma":[0.9993531,0.0002170072,0.00007094797,0.00004669311,0.00004642904,0.0002656805],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001756713,0.0003136516,0.07597228,0.00182102,0.00007130866,0.005519194,0.3998711,0.007071825,0.002620788,0.1910119,0.01869176,0.2968595],"study_design_scores_gemma":[0.00003061489,0.00009810397,0.0504518,0.001239829,0.00004108749,0.000411829,0.6974125,0.0009660986,0.000729139,0.01930239,0.2292519,0.0000646807],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6658802,0.006432155,0.003864208,0.01299773,0.0001506178,0.0005161852,0.0002150726,0.00006378582,0.3098801],"genre_scores_gemma":[0.9774252,0.002553472,0.002684265,0.0004406988,0.000006402629,0.0001194136,0.00007234832,0.00001980519,0.01667843],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06790769,"threshold_uncertainty_score":0.1350248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01262036813364971,"score_gpt":0.2558951958715899,"score_spread":0.2432748277379402,"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."}}