{"id":"W6976426509","doi":"10.6068/dp16650bf8a1428","title":"TREND: Statistics Canada. CANSIM: Immigrants and Nonpermanent Residents | Province: Quebec | Table: 051-0008 | Variable: # Persons, 03/1946 - 12/2004. Data Planet™ Statistical Datasets: A SAGE Publishing Resource Dataset-ID: 075-001-092","year":2018,"lang":"en","type":"other","venue":"Data Planet","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Census; Immigration; Official statistics; Socioeconomic status; Publishing; Population statistics; Population; Summary statistics","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":[0.001827088,0.002291108,0.002643026,0.009535834,0.003400952,0.004598552,0.004797131,0.001388736,0.1860334],"category_scores_gemma":[0.01709049,0.001446086,0.001897115,0.03700711,0.0006485722,0.002262529,0.001808753,0.002529537,0.08220492],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04942265,"about_ca_system_score_gemma":0.1267468,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950353,"about_ca_topic_score_gemma":0.9928028,"domain_scores_codex":[0.9968044,0.0002460082,0.000386221,0.0005515556,0.001248836,0.0007630349],"domain_scores_gemma":[0.9706901,0.001364106,0.001075996,0.001320416,0.02415777,0.001391546],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001623414,0.000004122152,0.000843211,0.0001359849,0.00001310922,0.000004393963,0.00001567948,0.00006994496,0.000005111768,0.0002007259,0.9971322,0.001559228],"study_design_scores_gemma":[0.0001562959,0.0000103872,0.02161071,0.0007703595,0.0000594496,0.00002060759,0.000379821,0.0004590224,0.0001033898,0.00053959,0.9758139,0.00007649935],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00006127655,0.00004552866,0.0000306701,0.0001754959,0.00004105032,0.00002071316,0.9979575,0.0001142284,0.001553513],"genre_scores_gemma":[0.001607014,0.0003312169,0.0004669096,0.0002226754,0.00003636154,0.0002510968,0.985608,0.0002848091,0.011192],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1860334,"threshold_uncertainty_score":0.6223435,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609347785040872,"score_gpt":0.2431753700514711,"score_spread":0.2270818922010624,"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."}}