{"id":"W3024066691","doi":"10.1007/978-3-030-44246-0_4","title":"General Theory and Methods of Unequal Probability Sampling","year":2020,"lang":"en","type":"book-chapter","venue":"ICSA book series in statistics","topic":"Survey Sampling and Estimation Techniques","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sampling (signal processing); Sampling theory; Sampling design; Probability sampling; Computer science; Importance sampling; Mathematics; Statistics; Sample size determination; Monte Carlo method","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":[0.002297291,0.0003548612,0.0008164807,0.0001128335,0.00005541712,0.00002947855,0.0001767301,0.0003251517,0.0001896944],"category_scores_gemma":[0.00361859,0.0003642378,0.00006157364,0.00003521896,0.0004600479,0.0001048485,0.0001763752,0.0004571884,0.000002020633],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007497073,"about_ca_system_score_gemma":0.0001234186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001478777,"about_ca_topic_score_gemma":0.0000307943,"domain_scores_codex":[0.9979608,0.0002921589,0.0009352543,0.0003870731,0.0002397132,0.0001849664],"domain_scores_gemma":[0.9945456,0.004257781,0.0004959484,0.0004181415,0.0002044451,0.00007807444],"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":[0.0001032142,0.00001503598,0.00002182878,0.00095415,0.00004669103,0.000006113072,0.0006251669,0.00001156548,0.00002849444,0.9829813,0.000649603,0.01455679],"study_design_scores_gemma":[0.000116677,0.0001243007,0.00002267876,0.0002469236,0.00007275445,0.000005559379,0.00002725569,0.0002211639,0.00032945,0.9789091,0.01960524,0.0003189244],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005180359,0.0005402367,0.9564741,0.00003244159,0.000145119,0.0004736375,0.001348955,0.0001629153,0.04077078],"genre_scores_gemma":[0.00008244881,0.0004908186,0.9787491,0.00006886166,0.00006599418,0.00002096334,0.0001205725,0.00008743304,0.02031381],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02227499,"threshold_uncertainty_score":0.999881,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1625689391410819,"score_gpt":0.4231218197370672,"score_spread":0.2605528805959852,"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."}}