{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01199831,0.001108305,0.001174379,0.00125208,0.001527731,0.005701194,0.00316927,0.002875291,0.06534061],"category_scores_gemma":[0.02402334,0.0005812462,0.0009588014,0.001994153,0.002438294,0.003627763,0.00325176,0.002748827,0.02238922],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003941633,"about_ca_system_score_gemma":0.008412202,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002292272,"about_ca_topic_score_gemma":0.002156524,"domain_scores_codex":[0.9837642,0.008963674,0.0009400378,0.002262925,0.00314924,0.0009198895],"domain_scores_gemma":[0.9875839,0.006535528,0.001017516,0.00243363,0.001865181,0.0005642406],"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":[0.000177286,0.0002015539,0.001789505,0.0005819872,0.00004081464,0.0001929966,0.000695579,0.008818993,0.0003245935,0.8672508,0.04501339,0.07491247],"study_design_scores_gemma":[0.0002052425,0.0003376158,0.0008662287,0.0005214545,0.0000439635,0.0003429579,0.0004415133,0.01227145,0.0003955707,0.4219024,0.5626162,0.00005555303],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.009461496,0.003013233,0.6011459,0.01772526,0.001748725,0.01126402,0.01230236,0.00116436,0.3421746],"genre_scores_gemma":[0.2024334,0.008580315,0.4983776,0.0105707,0.001112079,0.03350939,0.009600173,0.0005838346,0.2352325],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06534061,"threshold_uncertainty_score":0.2185861,"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."}}