{"id":"W2187693295","doi":"","title":"STATISTICS CANADA'S NEW HOUSEHOLD SURVEY STRATEGY","year":2007,"lang":"en","type":"article","venue":"","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Sample (material); Interview; Census; Sampling frame; Descriptive statistics; Survey sampling; Official statistics; Statistics; Computer science; Operations research; Engineering; Sociology; Mathematics; Demography; Population","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":[0.01089479,0.0007491619,0.001065572,0.009119146,0.002995079,0.004742084,0.002538357,0.001037508,0.01643379],"category_scores_gemma":[0.02021143,0.0007401187,0.0008951545,0.02264152,0.0007902368,0.001936632,0.0025846,0.002067104,0.006499612],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03509026,"about_ca_system_score_gemma":0.1380409,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9517529,"about_ca_topic_score_gemma":0.9554421,"domain_scores_codex":[0.9854866,0.004004574,0.001057685,0.001335004,0.006850359,0.001265804],"domain_scores_gemma":[0.9854117,0.00125419,0.0003715915,0.001053529,0.01085854,0.001050367],"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":[0.00005526572,0.00004479102,0.008315211,0.0003514486,0.00005263689,0.0001286076,0.00114764,0.001227288,0.0002750579,0.1029884,0.6448568,0.2405568],"study_design_scores_gemma":[0.00002166501,0.0000152439,0.01140935,0.0001853503,0.00002283859,0.00006833942,0.0006639742,0.001645357,0.0001173113,0.004230077,0.9815797,0.00004089831],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.009092944,0.004966948,0.209277,0.02841914,0.003319502,0.0135365,0.3767191,0.004420132,0.3502487],"genre_scores_gemma":[0.05817316,0.01233985,0.4345767,0.0161553,0.0008504979,0.01965008,0.1953476,0.001620863,0.261286],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9649097,"threshold_uncertainty_score":0.2545988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2739518353035158,"score_gpt":0.3856480582183412,"score_spread":0.1116962229148254,"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."}}