{"id":"W2334297839","doi":"10.3197/ge.2015.080207","title":"Climigration: How to Plan Climate Migration by Learning from History?","year":2015,"lang":"en","type":"article","venue":"Global Environment","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Mass migration; Destinations; Plan (archaeology); Climate change; Geography; Political science; Colonialism; Economy; Environmental planning; Environmental resource management; Ecology; Economics; Immigration; Tourism; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003320901,0.0006536411,0.0005036478,0.001442072,0.002201735,0.005187829,0.002040713,0.001314686,0.01208426],"category_scores_gemma":[0.01193441,0.0002989381,0.0004377146,0.001184712,0.003045849,0.007441649,0.003079484,0.00262273,0.002087294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001867554,"about_ca_system_score_gemma":0.004307489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008097976,"about_ca_topic_score_gemma":0.01942833,"domain_scores_codex":[0.9990765,0.0006317639,0.00003609564,0.00008055473,0.00009112321,0.00008398236],"domain_scores_gemma":[0.997027,0.001343838,0.0002403871,0.0002431572,0.0005286433,0.0006169412],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007448361,0.0004057881,0.03002048,0.001337801,0.00009172526,0.0004786421,0.02116682,0.01076352,0.000650915,0.09867228,0.1058735,0.730464],"study_design_scores_gemma":[0.00004678783,0.0002659006,0.01665825,0.003951901,0.00009699917,0.0005389406,0.09898887,0.02197827,0.001155103,0.5174706,0.3386768,0.0001715975],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.104464,0.02182914,0.2225368,0.4696286,0.002750769,0.0006104528,0.001071375,0.002018406,0.1750904],"genre_scores_gemma":[0.6950434,0.03148447,0.2414053,0.008270442,0.0008277958,0.0004600096,0.001314587,0.0002745345,0.02091935],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01208426,"threshold_uncertainty_score":0.04042584,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1096938601323346,"score_gpt":0.2673035663690128,"score_spread":0.1576097062366782,"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."}}