{"id":"W1576685640","doi":"10.1002/9781118162934.ch6","title":"Unequal Probability Sampling","year":2012,"lang":"en","type":"other","venue":"Wiley series in probability and statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Estimator; Probability sampling; Statistics; Sampling (signal processing); Mathematics; Population; Sample (material); Computer science","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":[0.03342312,0.001584915,0.002825278,0.003007451,0.001771997,0.003380226,0.004547562,0.002439853,0.01890077],"category_scores_gemma":[0.1405156,0.0009119157,0.001715835,0.004925199,0.00381521,0.003677889,0.003787469,0.0030686,0.004144356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001656499,"about_ca_system_score_gemma":0.002279516,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002911865,"about_ca_topic_score_gemma":0.002649374,"domain_scores_codex":[0.9542061,0.03364523,0.001588949,0.004904366,0.005056537,0.0005988368],"domain_scores_gemma":[0.946365,0.03776547,0.001695555,0.01054021,0.003206889,0.0004269306],"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":[0.0003275762,0.0002061738,0.005547644,0.0005369855,0.0002777887,0.0003176786,0.001341198,0.01283741,0.0009548585,0.7339839,0.01813911,0.2255297],"study_design_scores_gemma":[0.0003371881,0.0002253369,0.002952908,0.0006362218,0.0002521337,0.0008612325,0.0004090445,0.08646111,0.003280725,0.821141,0.08333256,0.0001105318],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002795111,0.0003308258,0.988848,0.0002474576,0.0001877961,0.001263657,0.0003583824,0.0002305334,0.005738353],"genre_scores_gemma":[0.1000417,0.001071181,0.8771396,0.0008184112,0.0005019155,0.007145049,0.001612237,0.0002728013,0.01139702],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.03342312,"threshold_uncertainty_score":0.1767605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04042750769912564,"score_gpt":0.2857076514136626,"score_spread":0.245280143714537,"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."}}