{"id":"W4386085665","doi":"10.1007/s11002-023-09693-4","title":"How is retargeting related to purchase incidence, channel choice, and purchase quantity?","year":2023,"lang":"en","type":"article","venue":"Marketing Letters","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Channel (broadcasting); Retargeting; Business; Advertising; Computer science; Marketing; Telecommunications; Artificial intelligence","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":[0.003501262,0.000220147,0.0005431266,0.0009081236,0.0004725237,0.002355501,0.0005947126,0.0009650724,0.00861409],"category_scores_gemma":[0.03278298,0.0003576345,0.0004437327,0.0008062972,0.0008936095,0.002801015,0.0006950917,0.001172485,0.001161937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005588268,"about_ca_system_score_gemma":0.0004156314,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005799796,"about_ca_topic_score_gemma":0.004960691,"domain_scores_codex":[0.9977227,0.0008040566,0.000142736,0.0004521509,0.0005889891,0.0002894074],"domain_scores_gemma":[0.9323819,0.04120843,0.01535137,0.005187799,0.003418092,0.002452478],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001753207,0.001504551,0.9259982,0.00007131122,0.0002456075,0.0002591943,0.001859405,0.00142182,0.01013367,0.00160965,0.0008567941,0.0542866],"study_design_scores_gemma":[0.00002368711,0.0003483974,0.9915559,0.00001933511,0.00009185664,0.0002528665,0.0006151019,0.002216628,0.00106765,0.002946688,0.0008251838,0.00003661657],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929889,0.0001664411,0.0009800339,0.0002720259,0.00001719268,0.00001684287,0.00007478914,0.00004354103,0.005440188],"genre_scores_gemma":[0.9979008,0.00006994516,0.0003458617,0.0001163379,0.00003469871,0.000005586311,0.00006784465,0.00003517811,0.001423586],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00861409,"threshold_uncertainty_score":0.028817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01957547181108658,"score_gpt":0.2416417707859471,"score_spread":0.2220662989748605,"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."}}