{"id":"W2750839097","doi":"10.33679/rmi.v3i11.1197","title":"Seeking Refuge. Central American Migration to Mexico, the United States, and Canada","year":2017,"lang":"en","type":"article","venue":"Migraciones internacionales","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Wildlife refuge; Geography; Political science","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":[0.0003449793,0.0002454355,0.0001944639,0.001542052,0.007614926,0.003208389,0.0005628507,0.0009189677,0.0111386],"category_scores_gemma":[0.001630099,0.0001988543,0.000239489,0.003994366,0.001287691,0.001108091,0.001534317,0.001169813,0.0004763222],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01420144,"about_ca_system_score_gemma":0.04287895,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9839379,"about_ca_topic_score_gemma":0.994659,"domain_scores_codex":[0.99968,0.00003462879,0.000008972022,0.00002184771,0.00004899961,0.0002055814],"domain_scores_gemma":[0.9990921,0.00007805447,0.000112822,0.0000134164,0.0002754955,0.0004282209],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002417578,0.0002642947,0.3509388,0.000534693,0.00006420726,0.001056934,0.05187896,0.0005328784,0.0002246298,0.04525113,0.3231638,0.225848],"study_design_scores_gemma":[0.00003913988,0.00003205389,0.610481,0.001252081,0.00006067776,0.0002048078,0.1922028,0.0002906038,0.00007304158,0.001905332,0.1934145,0.00004402105],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5390425,0.07552983,0.0002051508,0.1440634,0.001571771,0.0001509056,0.007293553,0.00004356698,0.2320993],"genre_scores_gemma":[0.8565437,0.06524701,0.0003878242,0.004461978,0.0004088652,0.0001005617,0.001975106,0.00002240073,0.07085258],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01606208,"threshold_uncertainty_score":0.1030391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01417292200176959,"score_gpt":0.2923761117327132,"score_spread":0.2782031897309437,"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."}}