{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch","sts"],"category_scores_codex":[0.480717,0.0002695537,0.0007264594,0.0001876005,0.003209424,0.0001744185,0.0005808262,0.0005912596,0.0003173874],"category_scores_gemma":[0.2878395,0.0002428703,0.00008034556,0.0002323024,0.002739002,0.0002979539,0.000360203,0.0004746389,0.000006632217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002719569,"about_ca_system_score_gemma":0.0001834666,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.05203691,"about_ca_topic_score_gemma":0.04237982,"domain_scores_codex":[0.4471824,0.5508302,0.0003665212,0.0007571624,0.0001850626,0.0006786636],"domain_scores_gemma":[0.6784006,0.320276,0.0002538229,0.0006208229,0.0002149814,0.0002337261],"domain_codex":"methods","domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005253012,0.00004965047,0.663637,0.00001108754,0.0001933904,0.000006037239,0.00675446,1.816824e-7,0.0001622567,0.01701685,0.00119081,0.3057252],"study_design_scores_gemma":[0.0002788792,0.0000496101,0.8119867,0.000002722174,0.00002958409,0.000006274667,0.0009189647,0.000002159732,0.00007961519,0.02319298,0.1632344,0.0002181378],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.5920004,0.009177697,0.3755795,0.007315317,0.00904288,0.0009312549,0.000773315,0.00027108,0.004908604],"genre_scores_gemma":[0.06433979,0.01039863,0.9093444,0.0009766059,0.007289652,0.0001717395,0.0001980891,0.0001418786,0.007139228],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5337649,"threshold_uncertainty_score":0.999975,"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."}}