{"id":"W1996162360","doi":"","title":"Truth in Advertising: The Hidden Cost of Mobile Ads for Software Developers","year":2016,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":92,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Android (operating system); Computer science; Revenue; Mobile apps; App store; Software; Cover (algebra); World Wide Web; Mobile device; Internet privacy; Computer security; Operating system; Business; Engineering","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":[0.0001523357,0.00006662037,0.0001044241,0.00002974416,0.00001725865,0.000004223342,0.0001160897,0.00003975665,0.00007923221],"category_scores_gemma":[0.0001622116,0.00003452517,0.00003651896,0.00008773934,0.00003439391,0.00006223953,0.00001806739,0.0000295996,0.000003607887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000087482,"about_ca_system_score_gemma":0.00003199861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002386208,"about_ca_topic_score_gemma":0.00009294662,"domain_scores_codex":[0.9995337,0.000009125993,0.0001555614,0.0000803313,0.00005636082,0.0001649596],"domain_scores_gemma":[0.9995199,0.0002412284,0.000009727626,0.0001559953,0.00004970951,0.00002339303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00006177527,0.00004679536,0.13345,0.0003279153,0.00004342775,0.000002129462,0.001869145,0.001454983,0.00119917,0.002308437,0.003929378,0.8553069],"study_design_scores_gemma":[0.009632927,0.0005247299,0.6606522,0.0004100417,0.00008387495,0.00001072213,0.01443796,0.01421482,0.09901351,0.02345013,0.175639,0.001930134],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9464118,0.0001086372,0.0506918,0.0001408629,0.0001406686,0.0006658218,0.00001265655,0.0001188183,0.001708919],"genre_scores_gemma":[0.9978781,0.000006522163,0.001499521,0.00001237866,0.0000114709,0.0001166546,9.912378e-7,0.00001202501,0.0004623834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8533767,"threshold_uncertainty_score":0.1407896,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008646664074005639,"score_gpt":0.2227930755192762,"score_spread":0.2141464114452706,"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."}}