{"id":"W4394893270","doi":"10.3386/w32339","title":"Three Things about Mobile App Commissions","year":2024,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"Mobile and Web Applications","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Mobile apps; Computer science; World Wide Web; Internet privacy","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005369267,0.0002121825,0.0004004043,0.0008757312,0.0002041717,0.0002872067,0.00242724,0.0003718486,0.0003191313],"category_scores_gemma":[0.0003406187,0.0002014474,0.0002114928,0.0005079959,0.0002130874,0.0003140834,0.001062715,0.001131921,0.001530292],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001084864,"about_ca_system_score_gemma":0.007285119,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004195623,"about_ca_topic_score_gemma":0.000404696,"domain_scores_codex":[0.9961431,0.00008167895,0.0007117232,0.0008242253,0.00183892,0.0004003332],"domain_scores_gemma":[0.9953789,0.001346235,0.0002201127,0.001015621,0.001862857,0.0001763123],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000001770104,0.00004849506,0.00007714425,0.00008767399,0.00006552159,0.000002256827,0.00003743786,0.00009695011,0.00004031025,0.6317387,0.3611523,0.00665152],"study_design_scores_gemma":[0.00007989882,0.00004631508,0.0003850405,0.0001245508,0.000006545935,0.0000136999,0.000005259382,0.007065929,0.0001103159,0.5338619,0.4581202,0.0001803442],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0001742028,0.004053457,0.004904386,0.001910001,0.0008453521,0.001239503,0.0002077622,0.0001405656,0.9865248],"genre_scores_gemma":[0.8070961,0.010841,0.02819318,0.000481918,0.005260232,0.01077561,0.002715048,0.0004030197,0.1342339],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.8522909,"threshold_uncertainty_score":0.9992471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2493972907700228,"score_gpt":0.4993531315394492,"score_spread":0.2499558407694265,"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."}}