{"id":"W7126914672","doi":"","title":"\"Seeking Refugee. Central American Migration to Mexico, the United States and Canada\" de María Cristina Gracía","year":2006,"lang":"es","type":"article","venue":"","topic":"Migration, Health, Geopolitics, Historical Geography","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Government (linguistics); Population; Agency (philosophy)","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":[0.0006877717,0.0002657741,0.0002869628,0.0002127813,0.001580748,0.0002637231,0.0003016071,0.00008859152,0.00006750111],"category_scores_gemma":[0.0003038494,0.0002191793,0.00006886448,0.001591163,0.0005645568,0.0001101563,0.00004633079,0.0002427562,0.000005550535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001191982,"about_ca_system_score_gemma":0.001116023,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9991382,"about_ca_topic_score_gemma":0.9985491,"domain_scores_codex":[0.9964746,0.000672003,0.0005323297,0.0004352183,0.0007247211,0.001161082],"domain_scores_gemma":[0.9980593,0.0005349856,0.0002678155,0.0002807171,0.0002941643,0.0005630641],"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":[0.00004836195,0.0001426451,0.6282393,0.00007559303,0.0000374191,0.000009052131,0.01958288,0.0005876371,0.00003523037,0.1332266,0.2160976,0.001917553],"study_design_scores_gemma":[0.000108882,0.0001100933,0.3202818,0.00002355199,0.00004539607,0.000001361465,0.0114591,0.001509365,0.00002624307,0.002307359,0.6638433,0.0002835611],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9555974,0.0002603199,0.001506612,0.03804383,0.0004012301,0.0005318832,0.00008127234,0.00008525389,0.003492211],"genre_scores_gemma":[0.9899077,0.0009027931,0.0007381723,0.005695993,0.0005260707,0.00002253093,0.00009828481,0.0000227258,0.002085776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4477457,"threshold_uncertainty_score":0.9997191,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006621556806719647,"score_gpt":0.2593961997242941,"score_spread":0.2527746429175745,"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."}}