{"id":"W4235703510","doi":"10.1002/9781118786352.wbieg0998","title":"Migration: International","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; York University","funders":"","keywords":"Diversity (politics); Economic geography; State (computer science); Globalization; Feminization (sociology); Migration studies; Human migration; Geography; Political science; Sociology; Population; Gender studies; Law; Demography","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":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003644327,0.0002625741,0.0002881716,0.00106521,0.0001954861,0.0001466289,0.001358072,0.0003739317,0.008507894],"category_scores_gemma":[0.0004402801,0.0002945163,0.0002945241,0.0001469921,0.0004968917,0.0003381207,0.00009851873,0.000181514,0.000143055],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001100331,"about_ca_system_score_gemma":0.000217287,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02382568,"about_ca_topic_score_gemma":0.06614733,"domain_scores_codex":[0.9976186,0.00007863629,0.0003886917,0.0004124377,0.001254491,0.0002471684],"domain_scores_gemma":[0.9978893,0.0000970315,0.001051656,0.0004036255,0.0004488732,0.0001094607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002729104,0.0001647415,0.04824498,0.00003029908,0.0004462528,0.0000102161,0.002335201,0.000004118366,0.000008958609,0.01713179,0.9110586,0.02053753],"study_design_scores_gemma":[0.0002800236,0.00001578925,0.004197251,0.000226765,0.00003983087,0.000001017759,0.0004095224,0.00002195858,0.000004381135,0.0007376924,0.9938005,0.0002652187],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0002038263,0.0006077817,0.0002314122,0.002945663,0.00712796,0.0003609305,0.0004810784,0.0001940357,0.9878473],"genre_scores_gemma":[0.002602719,0.03803799,0.001720879,0.0001383871,0.004620733,0.00009045938,0.001284789,0.000197357,0.9513067],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.08274194,"threshold_uncertainty_score":0.9999507,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0375314947255531,"score_gpt":0.3186589659965385,"score_spread":0.2811274712709854,"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."}}