{"id":"W2181728226","doi":"","title":"RECENT DEVELOPMENTS IN THE REDESIGN OF STATISTICS CANADA'S BUSINESS REGISTER","year":2006,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Register (sociolinguistics); Business statistics; Computer science; Sampling frame; Statistics; Descriptive statistics; Sampling design; Frame (networking); Data science; Operations research; Engineering; Mathematics; Sociology; Telecommunications","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":[0.0749521,0.00104238,0.001544869,0.0145054,0.005042057,0.008769135,0.008569092,0.003043879,0.01229214],"category_scores_gemma":[0.1640346,0.001219714,0.001200154,0.03620034,0.00714149,0.005628821,0.003646997,0.006145479,0.003424979],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07476159,"about_ca_system_score_gemma":0.1979625,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9300315,"about_ca_topic_score_gemma":0.9437136,"domain_scores_codex":[0.9426689,0.01749087,0.004885769,0.003510167,0.02829909,0.003145163],"domain_scores_gemma":[0.6381442,0.0766428,0.01377378,0.02265785,0.2305314,0.01825],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001881122,0.0001236663,0.01248213,0.002150755,0.00007880111,0.0001424618,0.002435948,0.002661882,0.0007290869,0.156443,0.2626219,0.5599423],"study_design_scores_gemma":[0.00002436046,0.00004842716,0.01660432,0.0007509306,0.00003842576,0.0001496145,0.0008777381,0.001298087,0.0003940987,0.004399485,0.9753252,0.00008926984],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.02899037,0.1233607,0.1640086,0.4978835,0.03196672,0.002575109,0.01492669,0.005176445,0.1311118],"genre_scores_gemma":[0.1320601,0.1541269,0.4629931,0.08213609,0.01368132,0.002215961,0.0253716,0.002577917,0.1248372],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9252384,"threshold_uncertainty_score":0.5424359,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05997031826933358,"score_gpt":0.2915739410343421,"score_spread":0.2316036227650086,"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."}}