{"id":"W2943998842","doi":"","title":"Sample survey theory and methods: Past, present, and future directions","year":2017,"lang":"en","type":"article","venue":"Survey methodology","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Estimator; Survey data collection; Imputation (statistics); Survey sampling; Weighting; Sample (material); Statistics; Inference; Sampling (signal processing); Software; Data mining; Survey methodology; Data collection; Sampling design; Resampling; Sample size determination; Consistency (knowledge bases); Econometrics; Missing data; Mathematics; Algorithm; Machine learning; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.07705916,0.001537243,0.003443078,0.00739963,0.001957817,0.008245533,0.003590444,0.005533679,0.01253605],"category_scores_gemma":[0.0889455,0.001318922,0.001446148,0.01281705,0.01309479,0.01961075,0.004430825,0.01079863,0.004102124],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00595013,"about_ca_system_score_gemma":0.007108638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003729992,"about_ca_topic_score_gemma":0.003201725,"domain_scores_codex":[0.9514326,0.03441717,0.001997255,0.002761777,0.008685955,0.0007053504],"domain_scores_gemma":[0.843637,0.130911,0.003111227,0.007054829,0.01251521,0.002770763],"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":[0.00007550712,0.0001210713,0.001989085,0.003393246,0.00009521318,0.00006411922,0.0009043721,0.0009947582,0.0001030895,0.3546623,0.0484918,0.5891054],"study_design_scores_gemma":[0.00003668202,0.0001379196,0.00181363,0.00680421,0.00004100184,0.0002232338,0.0010163,0.002535156,0.0001585216,0.3394498,0.6476755,0.0001080253],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0007596382,0.8335111,0.0819987,0.06511935,0.005785227,0.0001799903,0.0002873248,0.0002528386,0.01210589],"genre_scores_gemma":[0.01899885,0.7957792,0.1430631,0.0203657,0.01567082,0.0008819227,0.000354144,0.0002671313,0.004619177],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9229409,"threshold_uncertainty_score":0.4075326,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4722577731315136,"score_gpt":0.5515094383971101,"score_spread":0.07925166526559646,"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."}}