{"id":"W1551598574","doi":"10.1002/9781118162934.ch10","title":"Design and Model","year":2012,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sampling design; Estimator; Sampling (signal processing); Statistics; Random variable; Computer science; Mathematics; Population; Selection (genetic algorithm); Econometrics; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01092461,0.0001494385,0.0002837277,0.00006989438,0.0001471586,0.00002545475,0.00009291113,0.0004088239,0.0004508882],"category_scores_gemma":[0.005608351,0.0001492685,0.000009784209,0.00007938636,0.001488906,0.00007462314,0.00005391894,0.0002079582,0.00000416217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002905561,"about_ca_system_score_gemma":0.0001928148,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006049103,"about_ca_topic_score_gemma":0.005649677,"domain_scores_codex":[0.9930639,0.006114039,0.000169746,0.0002540667,0.0001198447,0.0002783876],"domain_scores_gemma":[0.9956005,0.004032072,0.00007958134,0.0001588021,0.00002551909,0.0001035397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003254464,0.0002177327,0.01137186,0.0005979178,0.00007362256,0.00002322587,0.03436423,0.00008179413,0.000004816977,0.7494829,0.143628,0.05689946],"study_design_scores_gemma":[0.0003784155,0.0001140526,0.002721573,0.0001971285,0.00005917014,0.000005395097,0.000682817,0.0007862262,0.000003391931,0.6344398,0.3599954,0.0006165921],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004258765,0.008551201,0.8684676,0.0004133514,0.0008128256,0.001529061,0.000759383,0.0001736767,0.1188671],"genre_scores_gemma":[0.0002199999,0.006647947,0.8399727,0.00006610374,0.00008494632,0.00004170195,0.00001720403,0.00006350681,0.1528859],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.2163674,"threshold_uncertainty_score":0.6714125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1866482629708936,"score_gpt":0.3943808664790108,"score_spread":0.2077326035081172,"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."}}