{"id":"W2993193240","doi":"","title":"Comparative Study of Complex Survey Estimation Software in ONS","year":2015,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weighting; Calibration; Computer science; Software; Sample (material); Statistics; Sampling (signal processing); Data mining; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01299109,0.00009973862,0.0004107509,0.0008458611,0.0000679553,0.00009022519,0.0004976508,0.00006326022,0.0000330173],"category_scores_gemma":[0.004933815,0.00009021039,0.000036367,0.0008635966,0.0001575382,0.0002241193,0.0001370479,0.0002585275,0.00002105933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001602175,"about_ca_system_score_gemma":0.0002106034,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008779237,"about_ca_topic_score_gemma":0.02109816,"domain_scores_codex":[0.9963412,0.001273838,0.0008933344,0.0004468495,0.0007543495,0.0002904201],"domain_scores_gemma":[0.9954686,0.003184731,0.0001915733,0.000523912,0.0005131125,0.0001180726],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001810095,0.0006291834,0.5707513,0.000003023652,0.00001262768,0.000003575002,0.006901034,0.3442573,0.00001285428,0.00006594158,0.000129009,0.07705314],"study_design_scores_gemma":[0.0009733621,0.0002831237,0.5843609,0.00001212911,0.000001123122,8.366226e-7,0.02519209,0.3858268,0.000005456368,0.003151555,0.0001026425,0.00008992445],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926048,0.00001040335,0.0001760684,0.00004031052,0.00006180403,0.0003887299,0.00002104526,0.00001080755,0.00668602],"genre_scores_gemma":[0.9984653,0.00002925375,0.001266526,0.000009149853,0.000007264644,0.000029521,0.00002362547,0.000007644569,0.000161744],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07696321,"threshold_uncertainty_score":0.9967642,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4788707776387428,"score_gpt":0.4935673682741669,"score_spread":0.01469659063542406,"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."}}