{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002252764,0.0001160265,0.00009283359,0.0003665912,0.0006106309,0.0004538044,0.0007204514,0.000008855308,0.0005349842],"category_scores_gemma":[0.00001743751,0.00009264702,0.00002427804,0.001602806,0.0001590071,0.0006649921,0.001092357,0.0001450509,0.00001871618],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003228482,"about_ca_system_score_gemma":0.000007574658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002897824,"about_ca_topic_score_gemma":0.00003139046,"domain_scores_codex":[0.998559,0.00002798235,0.0001373591,0.0003698405,0.0005736179,0.0003322283],"domain_scores_gemma":[0.9995509,0.0000575534,0.00006418923,0.0003064362,0.00001197742,0.000008937208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009021112,0.0004297794,0.5402874,0.0007818538,0.00001970744,0.0004336736,0.0004416789,0.0008377134,0.0008063283,0.05356368,0.03596504,0.366343],"study_design_scores_gemma":[0.0004711853,0.00002106816,0.8429095,0.00001500392,0.0000421418,0.000003847233,0.001697808,0.004442121,0.000005178265,0.001236988,0.148929,0.0002262385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6735462,0.0001334762,0.0000389321,0.0002539059,0.0003012065,0.0007337107,7.630772e-7,0.00004985718,0.3249419],"genre_scores_gemma":[0.9969867,0.00001008189,0.00002482954,0.001527694,0.00005022242,0.0002156512,0.000001706801,0.000007110811,0.001175979],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3661168,"threshold_uncertainty_score":0.5857702,"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."}}