{"id":"W4283757152","doi":"10.1017/lar.2022.40","title":"Driven from Home: Taking Stock of Central American Migration","year":2022,"lang":"en","type":"article","venue":"Latin American Research Review","topic":"International Development and Aid","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Democracy; Populism; Economic history; Sociology; Art; History; Law; Politics","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":[0.001021571,0.0004920719,0.0003130859,0.001228589,0.01344041,0.008320369,0.0009975386,0.001380175,0.01765818],"category_scores_gemma":[0.002250503,0.0001803625,0.0002536371,0.002095576,0.004411252,0.005655439,0.006990543,0.002917611,0.001641655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00432583,"about_ca_system_score_gemma":0.006271323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07189903,"about_ca_topic_score_gemma":0.1546356,"domain_scores_codex":[0.9992998,0.0002045223,0.00001494662,0.00007563769,0.00009444618,0.000310676],"domain_scores_gemma":[0.9993549,0.00009018993,0.00006434829,0.00006292472,0.0001393393,0.0002882945],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0001205417,0.00009443487,0.008853093,0.0003720709,0.00002979348,0.001215549,0.29999,0.00007713138,0.0005900379,0.09500442,0.4185203,0.1751326],"study_design_scores_gemma":[0.000007557335,0.00002193103,0.009891423,0.0004871766,0.00001131843,0.0002116422,0.215214,0.00004516193,0.0001093826,0.005035786,0.7689438,0.00002086747],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.2115092,0.04804141,0.0005941142,0.1522121,0.01073472,0.00006336667,0.0003266355,0.0001795616,0.5763388],"genre_scores_gemma":[0.7319625,0.0227117,0.0006057482,0.0353209,0.002193642,0.0001202527,0.0002599525,0.0001969731,0.2066284],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07189903,"threshold_uncertainty_score":0.1429611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1192802213086759,"score_gpt":0.4372108231910933,"score_spread":0.3179306018824175,"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."}}