{"id":"W6890255074","doi":"10.34989/tr-126","title":"Low Response Rate from Merchants? Sample and Ask Consumers! An Application of Indirect Sampling Under a Consumer-Merchant Bipartite Network","year":2025,"lang":"en","type":"article","venue":"Bank of Canada Research","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":"Ask price; Sampling (signal processing); Sample (material); Payment; Acceptance sampling; Sampling bias; Quality (philosophy); Survey sampling","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":[],"consensus_categories":[],"category_scores_codex":[0.05854851,0.0006694063,0.0009748033,0.001553468,0.001068717,0.001594339,0.002331923,0.001227286,0.007643122],"category_scores_gemma":[0.169322,0.000635505,0.0009262268,0.003250869,0.001705444,0.001729703,0.003559942,0.001784899,0.001140039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00151588,"about_ca_system_score_gemma":0.001241097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007501399,"about_ca_topic_score_gemma":0.006624258,"domain_scores_codex":[0.9059504,0.08286776,0.001631326,0.004335991,0.004137994,0.001076485],"domain_scores_gemma":[0.8542593,0.1109623,0.009610049,0.0176387,0.006677227,0.0008524053],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002524626,0.001021601,0.5245634,0.001874994,0.002112794,0.0006461929,0.01090728,0.03575807,0.003795305,0.137123,0.01385873,0.2658139],"study_design_scores_gemma":[0.0006821492,0.001485511,0.2165418,0.0005503122,0.0008888613,0.0008593214,0.004866658,0.6137916,0.007865478,0.1222553,0.030009,0.0002039183],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2014704,0.0002112686,0.7789185,0.001644841,0.0001180564,0.003575914,0.002396281,0.0003605063,0.01130422],"genre_scores_gemma":[0.7665728,0.0001426379,0.2181339,0.0008999936,0.000106031,0.00799873,0.002005114,0.00008847102,0.004052253],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05854851,"threshold_uncertainty_score":0.3096378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05425085309177292,"score_gpt":0.294817131061428,"score_spread":0.2405662779696551,"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."}}