{"id":"W7101110401","doi":"","title":"Sampling and estimation issues for annual and sub-annual Canadian business surveys","year":2015,"lang":"en","type":"article","venue":"","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Estimation; Sampling (signal processing); Register (sociolinguistics); Sample (material); Census; Small area estimation; Sampling design","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":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2381695,0.001213556,0.002337891,0.005720315,0.00659137,0.004294225,0.00822189,0.002497106,0.007599268],"category_scores_gemma":[0.4969389,0.001655024,0.002351298,0.016436,0.003560431,0.002893598,0.003697566,0.003844673,0.000879408],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02705229,"about_ca_system_score_gemma":0.03829782,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.853819,"about_ca_topic_score_gemma":0.8457149,"domain_scores_codex":[0.7459218,0.2049746,0.01104535,0.008900964,0.022987,0.006170215],"domain_scores_gemma":[0.640386,0.2643161,0.01437096,0.03305409,0.045196,0.002676771],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006243015,0.0002513576,0.1048034,0.00206976,0.001295199,0.0004661772,0.00679102,0.02444057,0.0004085505,0.4784566,0.1037321,0.276661],"study_design_scores_gemma":[0.0006139481,0.0004552899,0.1892048,0.00354163,0.001153236,0.0006612204,0.01153575,0.1931509,0.002000238,0.3006035,0.2966554,0.0004240346],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0436537,0.007062898,0.8628863,0.02177468,0.003199821,0.01213299,0.009948932,0.0009040136,0.03843665],"genre_scores_gemma":[0.3477003,0.003976123,0.5947282,0.007367524,0.001412503,0.01515467,0.007801518,0.0003161889,0.02154306],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9729477,"threshold_uncertainty_score":0.9394726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3050510403847848,"score_gpt":0.470146942841953,"score_spread":0.1650959024571682,"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."}}