{"id":"W2922967003","doi":"10.1108/s0731-905320190000039002","title":"Effectiveness of Stratified Random Sampling for Payment Card Acceptance and Usage","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Stratified sampling; Payment; Cash; Database transaction; Smart card; Transaction data; Credit card; Payment card; Computer science; Sample (material); Exploit; Database; Statistics; Business; Computer security; Mathematics; World Wide Web; Finance","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.2055603,0.001272945,0.002019316,0.002476671,0.001118338,0.002562826,0.003140257,0.001329038,0.004701926],"category_scores_gemma":[0.4130453,0.0009694102,0.001656126,0.003342982,0.002373362,0.002627054,0.003098753,0.001747789,0.001273872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001892071,"about_ca_system_score_gemma":0.002548453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008378686,"about_ca_topic_score_gemma":0.00408396,"domain_scores_codex":[0.6162192,0.3589793,0.003895912,0.008061515,0.01158588,0.00125825],"domain_scores_gemma":[0.3498409,0.5754073,0.02013408,0.04423916,0.008737822,0.001640717],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00730051,0.001344157,0.3576969,0.00140785,0.004460368,0.000566062,0.006571214,0.08275776,0.00187408,0.1180163,0.01619542,0.4018095],"study_design_scores_gemma":[0.002180382,0.005449286,0.184906,0.001360539,0.002403982,0.0008741254,0.003098881,0.5969663,0.006474308,0.1766488,0.01929859,0.0003387692],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.330996,0.00181555,0.6370831,0.001406644,0.0005329511,0.006885587,0.002051922,0.001309834,0.01791837],"genre_scores_gemma":[0.8339251,0.0003122216,0.1580255,0.0005749321,0.0001532058,0.00377302,0.001667639,0.0001617048,0.001406664],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2055603,"threshold_uncertainty_score":0.9796855,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02937276517512991,"score_gpt":0.2249740096238326,"score_spread":0.1956012444487027,"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."}}