{"id":"W2039664746","doi":"10.7202/600810ar","title":"Estimation de la population corrigée pour le sous-dénombrement par sexe et par âge, Québec, 1971 et 1976","year":2009,"lang":"fr","type":"article","venue":"Cahiers québécois de démographie","topic":"Census and Population Estimation","field":"Mathematics","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Humanities; Political science; Geography; Philosophy","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":[0.001270025,0.000272207,0.0003862843,0.002844212,0.0009665788,0.0007355269,0.0006487927,0.0002203661,0.003309077],"category_scores_gemma":[0.005179895,0.0001596278,0.0005327823,0.004253595,0.0004310723,0.0002800951,0.0004009349,0.0004680819,0.0003614687],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01080927,"about_ca_system_score_gemma":0.006743297,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9833958,"about_ca_topic_score_gemma":0.9882356,"domain_scores_codex":[0.9991955,0.0001523521,0.00004749811,0.0001331435,0.0003131212,0.0001582672],"domain_scores_gemma":[0.9976864,0.0004436991,0.0002419851,0.0001404668,0.001354958,0.0001323978],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001418073,0.00002036239,0.9411588,0.00008254392,0.0002468446,0.00009867491,0.001292995,0.006564619,0.0005195671,0.001556814,0.0037578,0.04455904],"study_design_scores_gemma":[0.000004106091,0.0000131842,0.9933549,0.00002352733,0.00003192514,0.00001789843,0.0005167288,0.001415863,0.000233807,0.00004478746,0.004334246,0.000008942912],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702389,0.001908413,0.003298293,0.0006254098,0.00004574978,0.00006335745,0.01107791,0.00005836817,0.01268361],"genre_scores_gemma":[0.9759393,0.001696091,0.002026311,0.0000623337,0.00002229238,0.0000473765,0.008208182,0.00001868059,0.01197943],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01660419,"threshold_uncertainty_score":0.07842714,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01777593959955267,"score_gpt":0.2955896086123246,"score_spread":0.277813669012772,"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."}}