{"id":"W1563278331","doi":"10.18438/b8333v","title":"Research Methods: Sampling","year":2016,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Survey Methodology and Nonresponse","field":"Social Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Royal Saskatchewan Museum; University of Saskatchewan","funders":"","keywords":"Computer science; Sampling (signal processing); Information retrieval; Data science; Statistics; Mathematics; Telecommunications","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1033896,0.00006276646,0.00008616183,0.0002512229,0.0007782181,0.0002417376,0.0002225217,0.0001258598,0.001061877],"category_scores_gemma":[0.2379779,0.00004513283,0.00002347932,0.0006243211,0.0003909959,0.2035855,0.00007782748,0.0002194521,0.0002031966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001520097,"about_ca_system_score_gemma":0.0005367307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003523807,"about_ca_topic_score_gemma":2.123217e-7,"domain_scores_codex":[0.9424878,0.05639752,0.0002871389,0.0001436844,0.000379324,0.0003045562],"domain_scores_gemma":[0.7681714,0.2313094,0.0001189096,0.0001574331,0.0001214938,0.0001213559],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.007247077,0.00002104396,0.0008879231,0.00002161383,0.00001183865,0.000002396265,0.002457659,0.000003005297,0.0005388191,0.6750727,0.003008176,0.3107277],"study_design_scores_gemma":[0.0001438882,0.00005625343,0.01403992,0.0001322961,0.000005448798,0.000002588665,0.003676032,0.00001520279,0.002255005,0.001381573,0.9782097,0.00008205963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"methods","genre_scores_codex":[0.01020541,0.001513207,0.3542319,0.5762563,0.000643125,0.0004870309,0.000008969781,0.0002891656,0.05636492],"genre_scores_gemma":[0.09384205,0.014791,0.8067479,0.080273,0.0005172531,0.0000958025,0.000008006535,0.00001661457,0.003708375],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9752015,"threshold_uncertainty_score":0.9998513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4308475877904869,"score_gpt":0.5669846723097627,"score_spread":0.1361370845192758,"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."}}