{"id":"W1990429607","doi":"10.7202/600775ar","title":"Évaluation du sous-dénombrement de la population lors du recencement de la population et du logement du Canada de 1976","year":2009,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Political science; Humanities; Art","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01644467,0.0004434921,0.0006038981,0.002585359,0.001263669,0.001291293,0.001063082,0.0003702422,0.002494429],"category_scores_gemma":[0.07246266,0.0003161456,0.000600922,0.004867554,0.0008311726,0.0005244249,0.001147493,0.0007152154,0.0003756071],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00898954,"about_ca_system_score_gemma":0.01419021,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8314555,"about_ca_topic_score_gemma":0.8492061,"domain_scores_codex":[0.9832655,0.006479691,0.001110785,0.001576583,0.006919574,0.0006478878],"domain_scores_gemma":[0.9490459,0.02192798,0.003802435,0.005045798,0.01970682,0.0004710987],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000757104,0.00008813273,0.7730214,0.0005220444,0.0006028365,0.0001315689,0.007550757,0.01052094,0.003824152,0.003155906,0.002695246,0.1971299],"study_design_scores_gemma":[0.00004493556,0.0002374938,0.9600372,0.0001586067,0.0002319063,0.00008162458,0.003054553,0.009210893,0.009108066,0.00038225,0.01739514,0.00005742766],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9514995,0.001216846,0.02258061,0.0009339178,0.00007001832,0.0008167401,0.01058938,0.0002030179,0.01209007],"genre_scores_gemma":[0.9581986,0.0006074673,0.02435425,0.0001029084,0.00001868468,0.0003852028,0.005606077,0.00004889026,0.01067799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1685445,"threshold_uncertainty_score":0.3390741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01724040097476014,"score_gpt":0.2679492606058215,"score_spread":0.2507088596310614,"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."}}