{"id":"W3017156007","doi":"10.1108/imds-04-2019-0214","title":"A dual systems model of online impulse buying","year":2020,"lang":"en","type":"article","venue":"Industrial Management & Data Systems","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Credibility; Impulse (physics); Originality; Psychology; Social commerce; Structural equation modeling; Affect (linguistics); Observational study; Marketing; Perceived control; Social psychology; Advertising; Applied psychology; Business; Computer science; Social media; Mathematics; Statistics","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":[0.001379336,0.0006119081,0.000464918,0.001141382,0.0005966855,0.002037707,0.0007118342,0.0007787599,0.007289754],"category_scores_gemma":[0.003081041,0.0003072497,0.0009714651,0.0005130771,0.001752594,0.001030292,0.001221032,0.0009402354,0.0005480431],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001271258,"about_ca_system_score_gemma":0.000985857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00275634,"about_ca_topic_score_gemma":0.001655309,"domain_scores_codex":[0.9988155,0.0005726136,0.00004519526,0.0002223187,0.0001765165,0.0001678838],"domain_scores_gemma":[0.9976224,0.001267173,0.0004139999,0.0001486925,0.0002375619,0.0003100723],"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":[0.001746868,0.003998461,0.4201051,0.0007180905,0.001014669,0.005249215,0.01863531,0.06098994,0.01619462,0.3810308,0.003376628,0.0869403],"study_design_scores_gemma":[0.0005522422,0.001968889,0.1829584,0.0002024785,0.0005899244,0.003354702,0.006923127,0.5271406,0.001945121,0.2680371,0.006104984,0.0002224523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8887806,0.0004778586,0.06614622,0.002203201,0.00008569739,0.0003175733,0.0002023518,0.0001679244,0.04161858],"genre_scores_gemma":[0.9943909,0.0000930712,0.003322521,0.00006139957,0.00001572063,0.00007819785,0.0000267834,0.000004624423,0.00200673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007289754,"threshold_uncertainty_score":0.0243867,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3175905915937974,"score_gpt":0.2969837104200461,"score_spread":0.02060688117375131,"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."}}