{"id":"W3093893639","doi":"10.1016/j.oneear.2020.09.016","title":"Urbanization, Migration, and Adaptation to Climate Change","year":2020,"lang":"en","type":"article","venue":"One Earth","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":97,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; International Development Research Centre","keywords":"Urbanization; Adaptation (eye); Climate change; Climate change adaptation; Geography; Economic geography; Environmental resource management; Environmental planning; Environmental science; Geology; Economic growth; Economics; Psychology; Oceanography; Neuroscience","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007445638,0.0001496619,0.0001828988,0.0009637145,0.0008424071,0.001470135,0.0001702663,0.0005958905,0.004237501],"category_scores_gemma":[0.002733966,0.00008529386,0.0002769904,0.002464158,0.001879949,0.0009325689,0.0008592309,0.0006208556,0.0001640262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006573814,"about_ca_system_score_gemma":0.00129331,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01781467,"about_ca_topic_score_gemma":0.04266439,"domain_scores_codex":[0.9996835,0.0001811132,0.00001444075,0.00002246926,0.00003435225,0.00006421685],"domain_scores_gemma":[0.9987639,0.0005050538,0.0003476529,0.00004965181,0.00009514514,0.0002385761],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003205857,0.0006698732,0.7739143,0.0003129248,0.0003493663,0.0006477787,0.008606725,0.005263763,0.0005089109,0.1083166,0.008591669,0.09249745],"study_design_scores_gemma":[0.00002163981,0.0001339612,0.9299651,0.0001246417,0.00009619829,0.0002114888,0.01557848,0.002226838,0.00009429672,0.03350743,0.01801578,0.00002407153],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9421262,0.006818672,0.000700117,0.01683497,0.0002058016,0.0000165221,0.0002177823,0.00002096449,0.03305896],"genre_scores_gemma":[0.9944491,0.003811084,0.0001143372,0.0001659825,0.0001180289,0.000005770749,0.00004181326,0.000002395613,0.001291401],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01781467,"threshold_uncertainty_score":0.03542197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1728665440514009,"score_gpt":0.2983132650978667,"score_spread":0.1254467210464658,"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."}}