{"id":"W4205612854","doi":"10.1016/j.jretconser.2021.102891","title":"The determinants of Women's redemption of geo-targeted m-coupons","year":2022,"lang":"en","type":"article","venue":"Journal of Retailing and Consumer Services","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Coupon; Advertising; Preference; Product (mathematics); Affect (linguistics); Value (mathematics); Business; Psychology; Structural equation modeling; Marketing; Statistics; Mathematics","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":[0.001069344,0.0001076616,0.0001053779,0.0003753316,0.000355422,0.0007569102,0.0002497911,0.0004991162,0.008248149],"category_scores_gemma":[0.01068219,0.000160001,0.0001209897,0.0003558346,0.0002934811,0.0002961982,0.0003813575,0.0005810382,0.0006961557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004608002,"about_ca_system_score_gemma":0.0004488193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01010639,"about_ca_topic_score_gemma":0.01865538,"domain_scores_codex":[0.9995035,0.0002475607,0.00001980356,0.00004509,0.00005699094,0.0001270985],"domain_scores_gemma":[0.9927151,0.005162116,0.001290977,0.0001921111,0.000308969,0.0003307525],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007182351,0.0002612059,0.9442784,0.00007357062,0.00006537805,0.0004113429,0.00660895,0.0008450727,0.003766517,0.003266533,0.001083886,0.03862092],"study_design_scores_gemma":[0.0000096422,0.0001983333,0.9871299,0.00004569726,0.00003481434,0.0001986169,0.006418052,0.000831358,0.0007997619,0.0005830348,0.00374092,0.00001001176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9931763,0.0001301457,0.0001152164,0.0003953993,0.000007885339,0.00001076479,0.00007233459,0.000002752919,0.006089238],"genre_scores_gemma":[0.9979444,0.00007424308,0.00005922076,0.00004169098,0.000005958608,0.000003949709,0.00002186716,0.000001455397,0.001847181],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01010639,"threshold_uncertainty_score":0.02759284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700354569829162,"score_gpt":0.3295991405036525,"score_spread":0.2925955948053609,"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."}}