{"id":"W7019691377","doi":"","title":"Imputation en prÃ©sence de donnÃ©es contenant des zÃ©ros","year":2011,"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":"Variance components; Jackknife resampling; Statistical analysis; Imputation (statistics); Influence function","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":[0.02230165,0.002412983,0.003374586,0.004583738,0.001937915,0.007397777,0.003882195,0.002790621,0.01333383],"category_scores_gemma":[0.09441122,0.002048546,0.004712955,0.004950984,0.001785002,0.006393238,0.003562934,0.005973576,0.007611332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214064,"about_ca_system_score_gemma":0.005500766,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01453128,"about_ca_topic_score_gemma":0.01605203,"domain_scores_codex":[0.9789504,0.007400404,0.002195153,0.006645361,0.004021671,0.0007870573],"domain_scores_gemma":[0.9224859,0.04966167,0.003262275,0.01586586,0.007939056,0.0007852507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002398273,0.0004141255,0.03775164,0.001469446,0.001867851,0.0008761412,0.001671067,0.2782437,0.008439814,0.04690009,0.01652123,0.6034466],"study_design_scores_gemma":[0.0001420134,0.0002644473,0.008242979,0.0003757034,0.0003047922,0.000460145,0.0004757596,0.8969824,0.01069071,0.05547869,0.02641673,0.0001657004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02874599,0.001009353,0.9616493,0.0007396125,0.0002929436,0.0001970021,0.002073118,0.003537559,0.001755085],"genre_scores_gemma":[0.226119,0.000965179,0.749741,0.0003597028,0.0003398366,0.0006044087,0.009337579,0.001015364,0.01151789],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02230165,"threshold_uncertainty_score":0.1179439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004628327681081732,"score_gpt":0.1451692732523928,"score_spread":0.1405409455713111,"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."}}