{"id":"W2993974445","doi":"10.1007/s42650-019-00011-w","title":"Indigenous Migration in Canada, 2006–2011","year":2019,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Aboriginal Affairs Northern Dev Canada; University of Waterloo","funders":"","keywords":"Census; Metropolitan area; Geography; Indigenous; Net migration rate; Socioeconomics; Internal migration; Developing country; Population; Economic growth; Demography; Population growth; Sociology; Economics; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008811997,0.0005403045,0.0006424703,0.003919858,0.007213546,0.002711426,0.00196803,0.0008059349,0.003287544],"category_scores_gemma":[0.002413173,0.0003856713,0.0008673873,0.01101065,0.001012385,0.001008173,0.002193474,0.001645699,0.0003844916],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0621843,"about_ca_system_score_gemma":0.1268805,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9992338,"about_ca_topic_score_gemma":0.9997295,"domain_scores_codex":[0.9987776,0.00004258919,0.00009192257,0.0001253934,0.0003222577,0.0006402006],"domain_scores_gemma":[0.9968566,0.00006756901,0.0003646725,0.00006541723,0.001868701,0.0007771077],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000372305,0.0001524604,0.8082009,0.001182672,0.0004361234,0.0008417878,0.02034512,0.0009365565,0.0004983684,0.003891432,0.069469,0.09367326],"study_design_scores_gemma":[0.00001064204,0.00001573967,0.9525393,0.0002968148,0.00006741713,0.0001431501,0.0114606,0.0002975403,0.0001166105,0.00007101762,0.0349463,0.00003482003],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9198422,0.01617474,0.0004491871,0.006596121,0.0006226423,0.0001273304,0.03791401,0.0001265827,0.01814719],"genre_scores_gemma":[0.9540062,0.008430133,0.0008096428,0.0008513897,0.0001023014,0.00008228996,0.009378524,0.00003843297,0.02630102],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0621843,"threshold_uncertainty_score":0.4511808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02330229745259461,"score_gpt":0.290795941163049,"score_spread":0.2674936437104544,"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."}}