{"id":"W7095529186","doi":"","title":"MINIMUM CHANGE EDIT AND IMPUTATION FOR THE 2006 CANADIAN CENSUS","year":2015,"lang":"en","type":"article","venue":"","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Imputation (statistics); Census; Missing data; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.007579874,0.0007377238,0.001389065,0.003884945,0.003989235,0.002550252,0.004015859,0.001385515,0.007596585],"category_scores_gemma":[0.04439602,0.0008086224,0.001351745,0.01044746,0.001496065,0.002211893,0.001870476,0.003342453,0.001830079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.009065492,"about_ca_system_score_gemma":0.02288703,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7746089,"about_ca_topic_score_gemma":0.8514181,"domain_scores_codex":[0.9945334,0.001519878,0.0002867663,0.001049316,0.002103243,0.000507405],"domain_scores_gemma":[0.9880252,0.004181551,0.0005251054,0.003220208,0.003795281,0.0002526473],"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":[0.0005455062,0.00008478609,0.0159008,0.0004787313,0.0002848426,0.0002599003,0.0009897767,0.1511432,0.0007257283,0.297939,0.1485369,0.3831108],"study_design_scores_gemma":[0.00008059758,0.00002674776,0.01551884,0.0001707815,0.00008505636,0.0002035196,0.0003125078,0.5605918,0.001777812,0.3182913,0.1027788,0.000162254],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0190348,0.001917156,0.9389338,0.00230222,0.0004228259,0.0002534282,0.02444568,0.003038493,0.009651557],"genre_scores_gemma":[0.1976957,0.001299637,0.7420914,0.0004290032,0.0002306948,0.0004230386,0.04240328,0.001304047,0.01412316],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2253911,"threshold_uncertainty_score":0.453437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2244584116835239,"score_gpt":0.4019139973546398,"score_spread":0.1774555856711159,"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."}}