{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003166476,0.00005290724,0.00007272872,0.00002220792,0.0000597245,0.00003083018,0.00004719017,0.00003521956,0.00002433476],"category_scores_gemma":[0.001109606,0.0000315033,0.00001136774,0.00004156433,0.00003096762,0.00002881943,0.000009513888,0.00003173642,0.000004117378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002216423,"about_ca_system_score_gemma":0.00004762912,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01683962,"about_ca_topic_score_gemma":0.02831217,"domain_scores_codex":[0.9995999,0.00002212445,0.0000855641,0.00008034454,0.0000641372,0.0001479127],"domain_scores_gemma":[0.9985359,0.001120983,0.00002213226,0.00008141436,0.0000849896,0.0001545829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00000705211,0.000007132085,0.0001080792,0.0000231896,0.000008061271,0.000001466461,0.00051204,3.108979e-8,0.000002579007,0.766435,0.06634266,0.1665528],"study_design_scores_gemma":[0.0002286604,0.00006009197,0.0008687588,0.000006578383,0.00002550569,0.000004061538,0.0004125781,0.007299026,0.00001694395,0.9727559,0.0182476,0.00007428306],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0005413868,0.0000801668,0.9858959,0.004605042,0.0003911717,0.0004990395,0.0002045793,0.00002299943,0.007759723],"genre_scores_gemma":[0.04950483,0.000005589819,0.948667,0.0007701464,0.0004985404,0.0001007397,0.000007260686,0.00001265243,0.0004332112],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.206321,"threshold_uncertainty_score":0.9897074,"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."}}