{"id":"W334163927","doi":"","title":"Inter-Regional Return and Onwards Migration in Canada: Evidence Based on a Micro-Regional Analysis */la Migration De Retour et D'etape Au Canada : Des Apprentissages Bases Sur Une Analyse a L'echelle Micro-Regionale","year":2007,"lang":"fr","type":"article","venue":"Canadian Journal of Regional Science","topic":"Regional Economics and Spatial Analysis","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Political science; Residence; Humanities; Geography; Net migration rate; Population; Cartography; Demography; Sociology; Art; Population growth","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0005549129,0.0002346094,0.0002806005,0.001866005,0.001261613,0.0009096643,0.0005543737,0.000182205,0.00181618],"category_scores_gemma":[0.00185398,0.0001549007,0.0005843293,0.00412076,0.0009198323,0.0002808904,0.0009618849,0.0002985565,0.0001313551],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009458172,"about_ca_system_score_gemma":0.011722,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9928247,"about_ca_topic_score_gemma":0.9960068,"domain_scores_codex":[0.9994187,0.00006234038,0.00002592694,0.0001066783,0.000172748,0.0002134813],"domain_scores_gemma":[0.998632,0.0001747286,0.0003506093,0.00006777036,0.0005676989,0.0002071666],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007413686,0.000008814534,0.9839504,0.00005528543,0.0001122695,0.00009977291,0.001260412,0.0007548976,0.0002525559,0.0004164744,0.0006421928,0.01237279],"study_design_scores_gemma":[0.000001387982,0.000007681182,0.9976645,0.00001556918,0.00003438228,0.0000204102,0.0009096142,0.0004151386,0.0000532349,0.00002871783,0.0008444628,0.000005062413],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946168,0.001049723,0.0002299374,0.00014419,0.000004412429,0.00001553737,0.002014951,0.00001317706,0.001911277],"genre_scores_gemma":[0.9975654,0.0006707675,0.0002257225,0.00002375919,0.000002611649,0.000006399232,0.0006522973,0.000004604963,0.0008484602],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009458172,"threshold_uncertainty_score":0.06862414,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03565583400930977,"score_gpt":0.2316716456912672,"score_spread":0.1960158116819574,"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."}}