{"id":"W2182062836","doi":"","title":"Managing Response Burden by Controlling Sample Selection and Survey Coverage","year":2011,"lang":"en","type":"article","venue":"","topic":"Census and Population Estimation","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payroll; Sample (material); Earnings; Control (management); Survey data collection; Selection (genetic algorithm); Survey sampling; Survey methodology; Demographic economics; Business; Operations management; Economics; Statistics; Computer science; Accounting; Demography; Population; Mathematics; Sociology; 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":["metaresearch"],"category_scores_codex":[0.4837593,0.002186048,0.003926005,0.007379554,0.002512242,0.004285291,0.005318329,0.003353952,0.008476671],"category_scores_gemma":[0.7080969,0.002404431,0.003144073,0.01165337,0.003753728,0.004865247,0.00798951,0.004152967,0.002833783],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003973151,"about_ca_system_score_gemma":0.00670166,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004944843,"about_ca_topic_score_gemma":0.003978192,"domain_scores_codex":[0.3018879,0.6025611,0.0351641,0.01978655,0.03638085,0.004219555],"domain_scores_gemma":[0.1622735,0.6570611,0.04148545,0.1019701,0.03460959,0.002600245],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.005927257,0.002121518,0.2067764,0.004443402,0.004736574,0.0007451861,0.01538088,0.01676829,0.007401302,0.04181836,0.07790434,0.6159765],"study_design_scores_gemma":[0.005227884,0.007864771,0.3551576,0.004291817,0.006792495,0.00184874,0.005037381,0.1739537,0.03396794,0.09824629,0.3068042,0.0008072464],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06085071,0.002999081,0.8555704,0.01186066,0.002557372,0.03813919,0.003975278,0.003292693,0.0207547],"genre_scores_gemma":[0.3361489,0.001077548,0.5725498,0.01025692,0.002497741,0.06469491,0.004238905,0.0009480437,0.007587305],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5162407,"threshold_uncertainty_score":0.6366167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08036515863848734,"score_gpt":0.3113466794804006,"score_spread":0.2309815208419133,"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."}}