{"id":"W2387813035","doi":"","title":"An Overlook of Canada's Immigrants","year":2004,"lang":"en","type":"article","venue":"Nanfang renkou","topic":"Migration and Labor Dynamics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Immigration; Census; Distribution (mathematics); Demographic economics; New immigrants; Geography; Political science; Economic growth; Sociology; Demography; Population; Economics; 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":[0.001330987,0.000312628,0.0003773752,0.003667592,0.0138795,0.004233358,0.001006283,0.0006444587,0.003585478],"category_scores_gemma":[0.004330137,0.0002722756,0.0003477603,0.007211143,0.003202766,0.001131099,0.00287679,0.001394368,0.0002776643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05267022,"about_ca_system_score_gemma":0.1227551,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968717,"about_ca_topic_score_gemma":0.9988599,"domain_scores_codex":[0.997813,0.000207472,0.00006796035,0.000183848,0.0009045484,0.0008231606],"domain_scores_gemma":[0.997387,0.0002472767,0.0002606532,0.00007603598,0.001288208,0.0007408427],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002268332,0.00003802571,0.2265541,0.001053344,0.000116114,0.001831828,0.1274641,0.0006161085,0.001005112,0.06603722,0.1806436,0.3944137],"study_design_scores_gemma":[0.0000151628,0.00004177059,0.3568119,0.00169514,0.0001071628,0.0006828829,0.1854901,0.0004425987,0.0004934311,0.003089714,0.4510074,0.000122845],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7459475,0.03850462,0.0009289922,0.07909433,0.00117723,0.00007229446,0.004245747,0.0001148744,0.1299144],"genre_scores_gemma":[0.9547639,0.02045182,0.0006388745,0.006902623,0.0001406074,0.00001881056,0.0006600758,0.00005382888,0.01636943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05267022,"threshold_uncertainty_score":0.3821509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006394174247621121,"score_gpt":0.2689576691705443,"score_spread":0.2625634949229231,"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."}}