{"id":"W2419350365","doi":"10.21307/stattrans-2016-008","title":"Development of Small Area Estimation in Official Statistics<sup>1</sup>","year":2016,"lang":"en","type":"article","venue":"Statistics in Transition New Series","topic":"Agricultural economics and policies","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Official statistics; Statistics; Economic statistics; Estimation; Population; Quality (philosophy); Sample (material); Politics; Operations research; Political science; Mathematics; Sociology; Economics; Law; Management","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":[],"category_scores_codex":[0.122705,0.001173281,0.001720998,0.008693688,0.001059107,0.005289624,0.002816936,0.001212034,0.007214661],"category_scores_gemma":[0.3222156,0.0009087269,0.001782619,0.009820889,0.004233237,0.005782796,0.003307837,0.004335697,0.00304103],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003193911,"about_ca_system_score_gemma":0.00641005,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008031436,"about_ca_topic_score_gemma":0.004949432,"domain_scores_codex":[0.8148464,0.1625973,0.00543661,0.003485475,0.01291646,0.0007178683],"domain_scores_gemma":[0.4756506,0.4429091,0.009194223,0.02331962,0.04791876,0.00100761],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001143385,0.0001219393,0.01376401,0.001310257,0.0001953514,0.00009479736,0.001301379,0.0206978,0.0004790931,0.4040431,0.02425804,0.5336199],"study_design_scores_gemma":[0.00006175282,0.0006859063,0.0292985,0.003445838,0.0002854039,0.0003069807,0.002199655,0.301522,0.00403707,0.4096615,0.2483196,0.0001758196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002227097,0.001417111,0.9867566,0.002296149,0.0006675941,0.0003179037,0.0005179684,0.0004890361,0.00531064],"genre_scores_gemma":[0.07255157,0.003025076,0.9174931,0.0006483902,0.00140182,0.001186748,0.001183555,0.0003798107,0.00213005],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.877295,"threshold_uncertainty_score":0.6489336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02525435288758857,"score_gpt":0.2679422062713537,"score_spread":0.2426878533837651,"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."}}