{"id":"W4412071221","doi":"10.1287/mksc.2023.0391","title":"Exploring Peer Effects Associated with User Retention in a Socially Connected Business","year":2025,"lang":"en","type":"article","venue":"Marketing Science","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Business; Marketing; Industrial organization; Computer science; Advertising; Knowledge management; Internet privacy; Microeconomics; Economics","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":[0.002074268,0.000306515,0.0003628914,0.00122907,0.001298322,0.001835345,0.0005257963,0.0007418699,0.004664932],"category_scores_gemma":[0.01971493,0.0001547886,0.00030007,0.001015983,0.0009272917,0.00179026,0.001346523,0.001088126,0.0005317879],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000751209,"about_ca_system_score_gemma":0.0006995588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005631643,"about_ca_topic_score_gemma":0.006747834,"domain_scores_codex":[0.9982874,0.0008528504,0.00004957419,0.0002028299,0.0003079551,0.000299329],"domain_scores_gemma":[0.9672153,0.02233431,0.004899673,0.0008628862,0.002281557,0.002406244],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009931778,0.001400074,0.9251205,0.0001608769,0.0002284203,0.0006747402,0.01294811,0.001998803,0.004001371,0.004246108,0.0007583914,0.04746938],"study_design_scores_gemma":[0.00003591687,0.001680524,0.9501332,0.00006316142,0.0003246857,0.0004298369,0.02026037,0.01759236,0.002626197,0.00487145,0.001917932,0.0000644396],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965394,0.0001006071,0.0006680209,0.0001698826,0.000006019806,0.00002143835,0.0000254073,0.000009179424,0.002460042],"genre_scores_gemma":[0.9991978,0.00003760321,0.0001451229,0.00001419244,0.00001244616,0.000008381056,0.00001293114,0.0000035854,0.0005679957],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005631643,"threshold_uncertainty_score":0.01560575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03833594079409296,"score_gpt":0.2811802744460052,"score_spread":0.2428443336519122,"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."}}