{"id":"W2993407738","doi":"10.1007/s42650-019-00015-6","title":"Immigrant Health Data Development at Statistics Canada: an Update","year":2019,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Migration, Health and Trauma","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"Statistics Canada","funders":"","keywords":"Immigration; Population; Settlement (finance); Geography; Demographic economics; Data science; Sociology; Demography; Computer science; Economics; World Wide Web","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004056577,0.000128336,0.0002369737,0.0001437569,0.0002464074,0.000007385745,0.0001888948,0.00004879343,0.0002804667],"category_scores_gemma":[0.00003824747,0.0001356288,0.000004825905,0.0001772754,0.00001843998,0.00008725322,0.0000387136,0.0001002108,0.00009642973],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002740763,"about_ca_system_score_gemma":0.001773014,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9955255,"about_ca_topic_score_gemma":0.9999871,"domain_scores_codex":[0.9983437,0.0001138766,0.0004788501,0.000388252,0.0001619946,0.000513294],"domain_scores_gemma":[0.998845,0.00003905982,0.0001265285,0.0005711654,0.00005927612,0.0003589672],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002966821,0.00002180638,0.7485011,0.0001128144,0.00006597712,0.00003140289,0.01718816,0.00006570862,1.821729e-7,0.007664398,0.1944109,0.03190793],"study_design_scores_gemma":[0.0003137351,0.00002498317,0.8831728,0.00002073047,0.000003375822,0.000004483696,0.003032424,0.0001358002,1.852946e-7,0.00006821314,0.1130875,0.0001357782],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9919556,0.002571323,0.00003796117,0.001042835,0.002214445,0.0005811891,0.00130285,0.0000165015,0.0002772755],"genre_scores_gemma":[0.9888548,0.00006882495,0.001054687,0.002395389,0.00006309348,0.00002165794,0.006928187,0.00001615068,0.0005972725],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1346718,"threshold_uncertainty_score":0.7167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0961595447340438,"score_gpt":0.3871484373743503,"score_spread":0.2909888926403065,"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."}}