{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008974331,0.0005417154,0.0006352751,0.001678671,0.002089113,0.009919654,0.001085188,0.002810689,0.017377],"category_scores_gemma":[0.09134026,0.0005166922,0.0005983271,0.001410833,0.003069389,0.008287929,0.001872531,0.003290844,0.001109295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0047513,"about_ca_system_score_gemma":0.001398351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005722227,"about_ca_topic_score_gemma":0.005896967,"domain_scores_codex":[0.9891851,0.006307233,0.0004533596,0.0005579083,0.002951219,0.000545172],"domain_scores_gemma":[0.7716725,0.1978739,0.01482992,0.006049634,0.008090995,0.001483024],"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":[0.003430128,0.00188279,0.2232414,0.002114169,0.0005114003,0.00311059,0.0183961,0.01727036,0.00724667,0.2325766,0.05332872,0.436891],"study_design_scores_gemma":[0.0008363249,0.003276531,0.2484568,0.003070626,0.002589955,0.006348526,0.04588517,0.2078309,0.01550528,0.3006716,0.1644922,0.001036227],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7319204,0.005139276,0.01939143,0.02727473,0.0006829059,0.0003165129,0.0006672031,0.0003855761,0.214222],"genre_scores_gemma":[0.9943803,0.0003818168,0.001514281,0.000630649,0.0002012592,0.00002226168,0.00004283723,0.00002864295,0.002797839],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.017377,"threshold_uncertainty_score":0.05813181,"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."}}