{"id":"W4245194482","doi":"10.4095/301408","title":"Foreign-born Population, 2006 - Population Immigrated between 2001 and 2006 (by census subdivision)","year":2010,"lang":"en","type":"report","venue":"","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Subdivision; Population; Geography; Genealogy; Demography; History; Sociology; Archaeology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"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":[0.0004154494,0.0006618419,0.0003677419,0.002216328,0.0009308179,0.000817007,0.0007715748,0.0003033885,0.006504489],"category_scores_gemma":[0.001527235,0.0002515122,0.0004631928,0.003622893,0.0001203465,0.0005692765,0.0006889773,0.0008994897,0.004435831],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002692638,"about_ca_system_score_gemma":0.005318919,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7102342,"about_ca_topic_score_gemma":0.7785217,"domain_scores_codex":[0.9995437,0.00002179849,0.00004347394,0.00005435626,0.0002353079,0.0001013261],"domain_scores_gemma":[0.998909,0.00002394628,0.0001272633,0.00002193317,0.0007798128,0.0001379496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0002042158,0.0001328122,0.2197993,0.0009991521,0.0001204626,0.0002297597,0.0009894657,0.0007703158,0.0004349664,0.0008877084,0.7362146,0.03921732],"study_design_scores_gemma":[0.00005539319,0.00006609129,0.8175084,0.0003506999,0.00005157238,0.000303211,0.001253112,0.0003519234,0.0003319736,0.00006613581,0.1796411,0.00002052586],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.04014268,0.001138964,0.0001831159,0.0003634538,0.0002205972,0.0002030611,0.9428464,0.0001437693,0.01475796],"genre_scores_gemma":[0.07446811,0.005720432,0.001089344,0.0003529343,0.00009565944,0.000454199,0.8772397,0.00006638299,0.04051323],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2897658,"threshold_uncertainty_score":0.5829445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0272203377355032,"score_gpt":0.3300210837523807,"score_spread":0.3028007460168775,"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."}}