{"id":"W198344657","doi":"10.3233/sju-2004-21101","title":"Service improvements in Statistics Canada","year":2004,"lang":"en","type":"article","venue":"Statistical Journal of the United Nations Economic Commission for Europe","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Service (business); Statistics; Computer science; Operations research; Business; Mathematics; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"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":[0.008458599,0.0004877574,0.000658543,0.006123417,0.00927457,0.006593865,0.002729549,0.002206082,0.03166118],"category_scores_gemma":[0.0295176,0.0007130597,0.0009458051,0.01613462,0.001629106,0.001683128,0.002474841,0.002827645,0.003779455],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1992863,"about_ca_system_score_gemma":0.5630435,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9968681,"about_ca_topic_score_gemma":0.997695,"domain_scores_codex":[0.9823102,0.001780124,0.0009043188,0.0008994116,0.009506124,0.004599838],"domain_scores_gemma":[0.9443651,0.0037056,0.001181568,0.001081485,0.03518982,0.01447644],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009869323,0.0001067953,0.01921076,0.0003327214,0.00004220725,0.0002351495,0.001220693,0.001327061,0.0002395136,0.02736516,0.8526059,0.09721532],"study_design_scores_gemma":[0.00004353581,0.00005560695,0.1168226,0.0003629511,0.00003257785,0.00008163923,0.0019183,0.001937655,0.0002353158,0.001871382,0.8765582,0.0000801907],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.07191812,0.0209204,0.004160324,0.3309978,0.008351681,0.001619128,0.07705179,0.003474298,0.4815065],"genre_scores_gemma":[0.3438343,0.02412725,0.01719234,0.06518954,0.001942347,0.001124677,0.0441376,0.001329387,0.5011227],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8007137,"threshold_uncertainty_score":0.9287144,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04739435715862744,"score_gpt":0.3285668569691505,"score_spread":0.2811724998105231,"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."}}