{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001188764,0.0004007056,0.000604094,0.0001211157,0.00008053979,0.0001292155,0.0005532445,0.0004152749,0.0001744846],"category_scores_gemma":[0.0003772524,0.0003712308,0.00004514616,0.0002379462,0.0004080336,0.0002543259,0.0004317957,0.0004707881,0.000009568802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007895286,"about_ca_system_score_gemma":0.0001539864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001434256,"about_ca_topic_score_gemma":0.0006250688,"domain_scores_codex":[0.9975021,0.0003985651,0.0005021117,0.0008030058,0.0002594351,0.0005347312],"domain_scores_gemma":[0.9982838,0.0002592929,0.0002104213,0.001006284,0.00005814898,0.0001820323],"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":[0.00001110018,0.0001097212,0.0006420162,0.000692332,0.0000148126,0.000005034979,0.0005208208,0.000002553131,0.000001435292,0.8238976,0.008439938,0.1656627],"study_design_scores_gemma":[0.0001810544,0.00008203047,0.0003565122,0.0002574302,0.00001611033,0.00001054784,0.000005445062,0.000763808,0.000003634522,0.8529479,0.1449101,0.0004654824],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001103687,0.001969493,0.9615985,0.0001358104,0.000677188,0.0007120604,0.0003768054,0.000202597,0.03431656],"genre_scores_gemma":[0.0001069934,0.0005763348,0.9827556,0.00007934318,0.0001491593,0.00006697685,0.00003514628,0.00009837488,0.01613204],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1651972,"threshold_uncertainty_score":0.9998739,"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."}}