{"id":"W4400048432","doi":"10.2139/ssrn.4877224","title":"Three Things About Mobile App Commissions","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Digital Platforms and Economics","field":"Business, Management and Accounting","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Mobile apps; Internet privacy; Computer science; Business; Computer security; World Wide Web","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":[0.005746549,0.0004059302,0.0004913819,0.002976425,0.00759316,0.01752352,0.001274427,0.01108802,0.03462711],"category_scores_gemma":[0.05952891,0.0004495584,0.0005401019,0.003047018,0.01617908,0.03006539,0.005498461,0.01269086,0.006424184],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004650985,"about_ca_system_score_gemma":0.004469137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009773358,"about_ca_topic_score_gemma":0.008379514,"domain_scores_codex":[0.990909,0.002381808,0.0003220244,0.001096871,0.003791269,0.001499066],"domain_scores_gemma":[0.9624896,0.01549066,0.003375377,0.004420966,0.008878046,0.005345344],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000102374,0.00003686525,0.004754911,0.00008207541,0.00001951168,0.0003838869,0.006584093,0.0001158603,0.0002539795,0.72813,0.2181662,0.04137014],"study_design_scores_gemma":[0.00001920303,0.00003196974,0.004452936,0.0004733873,0.00002347721,0.0004704254,0.01556617,0.0002277568,0.0004170362,0.289414,0.6888134,0.00009021251],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.02535912,0.005147222,0.004351042,0.7236471,0.008692028,0.00002939152,0.0003529943,0.0002199664,0.2322011],"genre_scores_gemma":[0.6536028,0.004806696,0.00290232,0.1754591,0.01325466,0.0001009176,0.000272202,0.0005849542,0.1490162],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03462711,"threshold_uncertainty_score":0.1158392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0110189268465147,"score_gpt":0.2173490497921616,"score_spread":0.2063301229456469,"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."}}