{"id":"W2730566790","doi":"10.1079/9781780648873.0103","title":"Selecting a sample.","year":2017,"lang":"en","type":"book-chapter","venue":"CABI eBooks","topic":"Diverse Aspects of Tourism Research","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Sample (material); Sampling frame; Sampling (signal processing); Sample size determination; Statistics; Key (lock); Computer science; Survey sampling; Frame (networking); Confidence interval; Sampling design; Econometrics; Mathematics; Demography; Sociology","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","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007718358,0.0002267376,0.0003122528,0.0001628825,0.00160835,0.0004631988,0.001056574,0.0004320164,0.001759638],"category_scores_gemma":[0.0009462839,0.0002486359,0.0001972933,0.000004864113,0.0008031601,0.00008498598,0.0002758043,0.0006631123,0.0008681037],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002510996,"about_ca_system_score_gemma":0.0008856457,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004161599,"about_ca_topic_score_gemma":0.002995177,"domain_scores_codex":[0.9979252,0.00004436162,0.0001729045,0.0004180205,0.0008770332,0.0005625266],"domain_scores_gemma":[0.9983409,0.0003203778,0.0002327806,0.0006010144,0.0002380736,0.0002668579],"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":[0.000009042841,0.000003576379,0.00001707826,0.00002121233,0.00007671613,0.0003268374,0.002351665,9.673644e-8,0.000009345133,0.7041966,0.009600873,0.283387],"study_design_scores_gemma":[0.000100873,0.00002122685,0.000006262857,0.00009855918,0.00002526276,0.000001116565,0.0001666957,6.668039e-7,0.00001498121,0.1110276,0.8882816,0.0002551812],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.0000214568,0.00009680363,0.00001102804,0.0003880555,0.0004838078,0.000389436,0.00002990109,0.000148906,0.9984306],"genre_scores_gemma":[0.002720925,0.00004562527,0.0002663626,0.00007168149,0.001861972,0.00000916864,0.000005326918,0.0000578166,0.9949611],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.8786807,"threshold_uncertainty_score":0.9999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08244735032980799,"score_gpt":0.3571473419228264,"score_spread":0.2746999915930184,"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."}}