{"id":"W3004318958","doi":"10.1145/3369819","title":"AppMoD","year":2019,"lang":"en","type":"article","venue":"Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Singapore Management University; National Natural Science Foundation of China","keywords":"Delegation; Crowdsourcing; Android (operating system); Internet privacy; Computer security; Computer science; Mobile apps; World Wide Web; Political science","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":[0.001505706,0.001422429,0.0006566478,0.001494707,0.001165046,0.003039567,0.002020687,0.001552827,0.2270283],"category_scores_gemma":[0.007094282,0.0006257366,0.0008790243,0.0008919151,0.0003870283,0.003974393,0.004211041,0.001210384,0.1722594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005131028,"about_ca_system_score_gemma":0.001618137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002375758,"about_ca_topic_score_gemma":0.003488979,"domain_scores_codex":[0.9988798,0.0001507618,0.00009481287,0.0002586764,0.0004591084,0.0001567248],"domain_scores_gemma":[0.9972641,0.0006118407,0.000137974,0.0006865081,0.001015492,0.0002840353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001520376,0.0003112732,0.003416252,0.001806973,0.00004898705,0.0006491455,0.001225158,0.000286239,0.005770955,0.01293357,0.5776878,0.3943432],"study_design_scores_gemma":[0.00006991588,0.0001142713,0.002110562,0.0001837023,0.00002212642,0.0004232383,0.0001326687,0.0006647132,0.001544351,0.002555792,0.9921428,0.00003582913],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"software","genre_scores_codex":[0.02735025,0.003540183,0.05887094,0.002449748,0.002831983,0.004059331,0.07219041,0.16317,0.6655371],"genre_scores_gemma":[0.0986931,0.003087834,0.07331401,0.004751638,0.0009201049,0.005179202,0.1384808,0.03425473,0.6413186],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.2270283,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01449699214732372,"score_gpt":0.2822238603317808,"score_spread":0.267726868184457,"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."}}