{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008185515,0.0002027902,0.0002129897,0.001253116,0.01097208,0.002413585,0.0005866566,0.0006796365,0.003338401],"category_scores_gemma":[0.002187195,0.0001485529,0.0002660981,0.00182219,0.001567701,0.0008005118,0.002022013,0.0009212203,0.000164913],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01580895,"about_ca_system_score_gemma":0.01242469,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9558344,"about_ca_topic_score_gemma":0.9788807,"domain_scores_codex":[0.9992592,0.0001385275,0.00001801484,0.00005248758,0.0001043981,0.0004274067],"domain_scores_gemma":[0.9991284,0.0001069327,0.0001808891,0.00002819079,0.0002615588,0.0002939826],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001677606,0.0001161549,0.4307091,0.00005661671,0.00002910853,0.0009139852,0.5341074,0.00007548401,0.0004498452,0.003033276,0.005798477,0.02454283],"study_design_scores_gemma":[0.000005473562,0.00002281828,0.1587066,0.00004625709,0.00001188671,0.000105219,0.8296087,0.00004103188,0.00006026011,0.00007554435,0.01129934,0.00001688779],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9904742,0.0002798105,0.00001666948,0.001514969,0.00001515951,0.00001417419,0.0001100858,0.000001769468,0.007573106],"genre_scores_gemma":[0.995025,0.0006820202,0.00005334035,0.000394694,0.000009741655,0.00001568082,0.00009530653,0.00000265411,0.003721609],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04416561,"threshold_uncertainty_score":0.1147025,"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."}}