{"id":"W2735599278","doi":"","title":"Geographic and Upward Mobility of US and Canadian Citizens in Mexico: Migrant Economic Strategies and Government Responses","year":2013,"lang":"en","type":"article","venue":"Autrepart","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Capital (architecture); Competition (biology); Geographic mobility; Business; Real estate; Economic growth; Economics; Population; Geography; Finance","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":[],"consensus_categories":[],"category_scores_codex":[0.0005044838,0.00007308817,0.0001475467,0.00005579215,0.0001452006,0.00009924235,0.00005031504,0.00006089592,0.000165413],"category_scores_gemma":[0.000040586,0.00007409147,0.00001850206,0.00004253567,0.0003794252,0.0003044203,0.00001838042,0.0000425587,0.00000298428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007905947,"about_ca_system_score_gemma":0.0002070625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7852427,"about_ca_topic_score_gemma":0.9761952,"domain_scores_codex":[0.9992597,0.00009805595,0.0001838493,0.0001937022,0.00006560936,0.0001990768],"domain_scores_gemma":[0.9995462,0.000124125,0.00005156688,0.0001007407,0.00001475891,0.0001625862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009735911,0.00001090564,0.9817863,0.00001218722,0.00001032958,7.323033e-7,0.01454211,0.00000453115,0.00002885266,0.002663752,0.0003029462,0.0006276343],"study_design_scores_gemma":[0.0001443791,0.00003425314,0.9777945,0.000008678194,0.000005756955,8.668025e-7,0.01128377,0.00008936886,0.00002947719,0.004066254,0.006458212,0.00008451266],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949649,0.0004199278,5.120693e-7,0.0008958405,0.0000399227,0.0002432696,0.00002825507,0.0000084131,0.003398972],"genre_scores_gemma":[0.998898,0.0007666774,0.00003144073,0.00007563923,0.0000171143,0.00002382894,0.000001219699,0.000003153905,0.000182913],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1909526,"threshold_uncertainty_score":0.3021362,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01293151536935427,"score_gpt":0.2506601913602158,"score_spread":0.2377286759908616,"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."}}