{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002636093,0.0001168136,0.0001157202,0.00006303864,0.001454443,0.0003169804,0.0004621421,0.00003049215,0.00004631821],"category_scores_gemma":[0.0003336819,0.00008878521,0.00003244919,0.0001031277,0.0003408362,0.000154574,0.00008600344,0.0001164804,0.000006208001],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001736909,"about_ca_system_score_gemma":0.0001901567,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9226651,"about_ca_topic_score_gemma":0.9992889,"domain_scores_codex":[0.9988319,0.0001350449,0.0001734723,0.0001980097,0.0003801585,0.0002813923],"domain_scores_gemma":[0.9991108,0.0001165275,0.0001818699,0.0002751614,0.000137524,0.0001781411],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001451862,0.00008302437,0.5714647,0.00001997985,0.0001364129,0.000035759,0.09096561,0.001251275,0.0003721942,0.2677831,0.05287356,0.01486919],"study_design_scores_gemma":[0.0000721644,0.00001698414,0.07680553,0.00002801613,0.000008812413,0.000002054678,0.009021763,0.003448938,0.0000354439,0.000171754,0.9102518,0.0001367648],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403093,0.00005165933,0.00082516,0.058009,0.000325613,0.0001515184,0.00005818522,0.00003136088,0.000238209],"genre_scores_gemma":[0.9939796,0.0005842036,0.0001562769,0.00260683,0.0001544514,0.00001436772,0.00006116808,0.000009508115,0.002433566],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8573782,"threshold_uncertainty_score":0.9998455,"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."}}