{"id":"W3162898265","doi":"10.1007/s42650-021-00042-2","title":"Migration Between Indian Reserves and Off-Reserve Areas: an Exploratory Analysis Using Census Data Linkage","year":2021,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"Indigenous Services Canada; Indigenous and Northern Affairs Canada","keywords":"Census; Residence; Geography; Net migration rate; Internal migration; Linkage (software); Meaning (existential); Demography; Demographic economics; Population; Sociology; Economics; Population growth; Biology; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":false,"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":[0.005258338,0.0003443041,0.0003850284,0.006333556,0.001933645,0.00160972,0.0008003951,0.0002193456,0.001690919],"category_scores_gemma":[0.02369377,0.0002762506,0.0007706878,0.01155215,0.0008192678,0.0007147742,0.00235479,0.0004121994,0.0001604381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004606497,"about_ca_system_score_gemma":0.009366194,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5165539,"about_ca_topic_score_gemma":0.4910603,"domain_scores_codex":[0.994916,0.002288976,0.0003801983,0.0004064053,0.001334384,0.0006740497],"domain_scores_gemma":[0.9877843,0.005494042,0.002192383,0.0008518785,0.003298551,0.0003789255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006180235,0.00005988249,0.9783856,0.00009533298,0.0001820507,0.0001646744,0.01223452,0.0005035785,0.0002042725,0.0009190445,0.000710912,0.006478393],"study_design_scores_gemma":[0.00001022132,0.0000861971,0.9311237,0.00009783734,0.0001244026,0.000124728,0.0605857,0.004248822,0.0003166021,0.0002521525,0.003001494,0.00002809673],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9963325,0.00005453461,0.0007464198,0.00007043808,0.000002479049,0.0001819565,0.001599163,0.000009478131,0.001003078],"genre_scores_gemma":[0.9948189,0.00009754599,0.002534483,0.00001874715,0.000002627252,0.0002447965,0.001871401,0.00001103867,0.0004005061],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4834461,"threshold_uncertainty_score":0.9725865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2030016275565642,"score_gpt":0.4114302875007174,"score_spread":0.2084286599441532,"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."}}