{"id":"W7066896294","doi":"","title":"InfÃ©rence doublement robuste en prÃ©sence de\\ndonnÃ©es imputÃ©es dans les enquÃªtes","year":2010,"lang":"fr","type":"other","venue":"Library and Archives Canada (Government of Canada)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Jackknife resampling; Statistical analysis; Natural logarithm; Variance inflation factor","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.02197201,0.002913883,0.00457602,0.001861903,0.00153406,0.006616788,0.003486041,0.00316407,0.008841662],"category_scores_gemma":[0.07358744,0.001693475,0.004851817,0.001725276,0.003798814,0.00507397,0.004354395,0.00509903,0.003133608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002303089,"about_ca_system_score_gemma":0.003911372,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006878795,"about_ca_topic_score_gemma":0.005211172,"domain_scores_codex":[0.9776079,0.007350541,0.001525593,0.007675304,0.004748256,0.00109238],"domain_scores_gemma":[0.9314659,0.04130998,0.005351652,0.01363771,0.007360691,0.000874089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.001965186,0.0002062949,0.01541835,0.001772765,0.002411809,0.0008559546,0.00106288,0.3229583,0.02868292,0.1614278,0.008354236,0.4548834],"study_design_scores_gemma":[0.0001297653,0.000685414,0.009599189,0.0005824613,0.0006527324,0.0008508901,0.0002561772,0.8116375,0.03368549,0.1142628,0.02735188,0.000305721],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008665013,0.0007672673,0.9875166,0.0003852591,0.0002087645,0.00005773282,0.0002270886,0.0006078139,0.001564433],"genre_scores_gemma":[0.3411613,0.002062274,0.625649,0.001087731,0.0007721229,0.0008476279,0.003261834,0.001515043,0.02364299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02197201,"threshold_uncertainty_score":0.1162005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0035645514674997,"score_gpt":0.1495669292835291,"score_spread":0.1460023778160294,"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."}}