{"id":"W2095783636","doi":"10.1002/wcc.51","title":"Migration in the context of vulnerability and adaptation to climate change: insights from analogues","year":2010,"lang":"en","type":"article","venue":"Wiley Interdisciplinary Reviews Climate Change","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":325,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","keywords":"Vulnerability (computing); Climate change; Context (archaeology); Geography; Adaptation (eye); Adaptive capacity; Environmental change; Variety (cybernetics); Population; Environmental resource management; Environmental planning; Economic geography; Climatology; Ecology; Environmental science; Biology; Geology; Computer science; Sociology","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":[0.002595322,0.0003017178,0.0005885166,0.0002730994,0.0005729478,0.000125037,0.0004179334,0.0001988524,0.0001063088],"category_scores_gemma":[0.0003402622,0.0002297623,0.0001366274,0.0006477553,0.0003087024,0.001047783,0.0002803946,0.0003254926,0.00007120408],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001142191,"about_ca_system_score_gemma":0.00002295369,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005187606,"about_ca_topic_score_gemma":0.5414065,"domain_scores_codex":[0.9966017,0.0009645214,0.001005164,0.0005572475,0.0004229586,0.000448423],"domain_scores_gemma":[0.998151,0.0004524373,0.000555952,0.000512731,0.0001846235,0.0001432443],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000107739,0.0002056252,0.01951832,0.0002061283,0.000007831795,0.000003837993,0.8400176,4.972731e-7,0.002147287,0.004093281,0.0003357356,0.1333562],"study_design_scores_gemma":[0.001285165,0.0008196852,0.3554393,0.003534366,0.0001848597,0.000007600266,0.5677745,0.004204262,0.0002957442,0.00766404,0.05752404,0.001266378],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9812194,0.005518413,0.00002751215,0.008002654,0.0007379778,0.003339448,0.0002900484,0.0000539655,0.0008106228],"genre_scores_gemma":[0.958222,0.0378068,0.0004675915,0.0008931326,0.0007883831,0.001332285,0.0004619819,0.00002347395,0.000004388015],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5362188,"threshold_uncertainty_score":0.9369434,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947673488543361,"score_gpt":0.3829754246210779,"score_spread":0.1882080757667418,"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."}}