{"id":"W3172725513","doi":"10.1093/migration/mnab020","title":"The demographic determinants of inter-provincial migration declines in Canada: A decomposition analysis","year":2021,"lang":"en","type":"article","venue":"Migration Studies","topic":"Migration, Aging, and Tourism Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Microdata (statistics); Immigration; Educational attainment; Marital status; Demographic economics; Geography; Census; Internal migration; Residence; Demographics; Demography; Demographic change; Human capital; Net migration rate; Population; Economics; Population growth; Sociology; Economic growth","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005691079,0.0001205658,0.0003307655,0.0001704318,0.0008758942,0.0000489423,0.0001134972,0.00003886802,0.000007149151],"category_scores_gemma":[0.0006073336,0.00009385576,0.0001233021,0.001399731,0.0001877358,0.0001617015,0.00004196899,0.00006694465,8.047252e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002375213,"about_ca_system_score_gemma":0.0007502018,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9416191,"about_ca_topic_score_gemma":0.99999,"domain_scores_codex":[0.998331,0.0003396425,0.0005344236,0.0002186366,0.0003564814,0.0002198754],"domain_scores_gemma":[0.9984533,0.0004742512,0.0002564683,0.0001464316,0.0006362702,0.00003325731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001338489,0.00002623323,0.9130306,0.00001258698,0.0002668436,0.000007762505,0.08169462,0.00005321209,0.00005240715,0.0003452485,0.001584553,0.002912558],"study_design_scores_gemma":[0.0001851234,0.00001819754,0.9588354,0.00003668921,0.000269283,4.884228e-7,0.03411862,0.0007878541,0.0007080833,0.0006912247,0.004200244,0.0001488471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915636,0.00511137,0.0003410748,0.002464866,0.0002828923,0.0001451906,0.00001104705,0.0000144512,0.0000655453],"genre_scores_gemma":[0.9922654,0.007129839,0.0001078445,0.00007657454,0.000122955,0.00004564649,0.00001199541,0.000004344688,0.0002354158],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05837089,"threshold_uncertainty_score":0.6736758,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02476047434399599,"score_gpt":0.3337530192777482,"score_spread":0.3089925449337522,"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."}}