{"id":"W4310388695","doi":"10.1287/mnsc.2022.4619","title":"Spillover Effects and Freemium Strategy in the Mobile App Market","year":2022,"lang":"en","type":"article","venue":"Management Science","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":62,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Spillover effect; Product (mathematics); Business; Marketing; Set (abstract data type); Service (business); Computer science; Business model; Advertising; Microeconomics; Economics; 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":[0.004695657,0.0006160684,0.001109947,0.001544755,0.0009560394,0.003551294,0.001020708,0.002006021,0.01409975],"category_scores_gemma":[0.01543948,0.0004039977,0.0018339,0.0009920307,0.002007039,0.002590375,0.002397339,0.002313677,0.001193091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488742,"about_ca_system_score_gemma":0.001161252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01126177,"about_ca_topic_score_gemma":0.008883728,"domain_scores_codex":[0.9981527,0.0005259111,0.0001341878,0.0004757149,0.00030328,0.0004081282],"domain_scores_gemma":[0.9734315,0.01832983,0.005274667,0.001156566,0.0006058268,0.001201533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00141408,0.001952549,0.8239119,0.0008499678,0.001015868,0.002768112,0.002295281,0.05095421,0.004606136,0.05464978,0.005665212,0.04991702],"study_design_scores_gemma":[0.0005515583,0.001573877,0.8574131,0.0004297982,0.001612142,0.0006607728,0.004671825,0.07756862,0.004904583,0.03899484,0.01135454,0.0002643933],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9798086,0.001236598,0.005738789,0.0009679523,0.00006255017,0.0002241722,0.0009524307,0.0001229773,0.01088586],"genre_scores_gemma":[0.9965984,0.0002152088,0.0006577429,0.0001652151,0.00004502232,0.00005377608,0.0003062861,0.000006757132,0.001951573],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01409975,"threshold_uncertainty_score":0.04716837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009469517794410708,"score_gpt":0.2268134038953081,"score_spread":0.2173438861008974,"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."}}