{"id":"W2759695524","doi":"10.33182/ml.v14i3.347","title":"Migration and the Internet","year":2017,"lang":"en","type":"article","venue":"MIGRATION LETTERS","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"ICTS; Information and Communications Technology; The Internet; Internal migration; State (computer science); Panel data; Term (time); Economic geography; Business; Economics; Political science; Economic growth; Computer science; Developing country; Econometrics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005225918,0.00005500874,0.00006264443,0.00002389849,0.0009097296,0.0005907726,0.0001902743,0.00003594571,0.00007238172],"category_scores_gemma":[0.0002425706,0.0000386681,0.00003077272,0.00003075361,0.0005318739,0.0003295234,0.00002005632,0.0000656107,0.00002387183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002306372,"about_ca_system_score_gemma":0.00001740861,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01161349,"about_ca_topic_score_gemma":0.2764755,"domain_scores_codex":[0.9993868,0.0001375374,0.0001044893,0.000107385,0.0001630599,0.0001006926],"domain_scores_gemma":[0.9995597,0.00005712803,0.0001168717,0.0001919429,0.00003708251,0.00003725941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009105536,0.00002445285,0.08590474,0.000007562899,0.0000359838,0.000002700549,0.1959844,0.00005358774,0.001742231,0.5943311,0.1100547,0.01176738],"study_design_scores_gemma":[0.001348472,0.00001351856,0.06093069,0.00001785412,0.00003060352,0.000001356553,0.00453829,0.02366168,0.000159635,0.001255539,0.9078131,0.0002293103],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7767279,0.00002571041,0.002447128,0.2177508,0.000194797,0.0001491135,0.000001535562,0.00002827291,0.002674748],"genre_scores_gemma":[0.9908219,0.0001489887,0.0001341842,0.004936952,0.0001842105,0.00001547102,0.000007267108,0.000003788657,0.003747264],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7977583,"threshold_uncertainty_score":0.9949682,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01355238969820843,"score_gpt":0.2744434561024219,"score_spread":0.2608910664042134,"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."}}