{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003683893,0.0001371164,0.0002086406,0.0001382203,0.0003361028,0.00009929171,0.001970657,0.0001820821,0.00003616772],"category_scores_gemma":[0.003060899,0.00009829217,0.00006861416,0.0003424176,0.0004038436,0.0005677153,0.00182236,0.0003939772,0.00003479024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000870714,"about_ca_system_score_gemma":0.00003284934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004102843,"about_ca_topic_score_gemma":0.00002775053,"domain_scores_codex":[0.998942,0.00001419364,0.000169019,0.0003207982,0.0002775615,0.0002763805],"domain_scores_gemma":[0.9989543,0.0001448946,0.0002178612,0.0004754097,0.0001838942,0.0000236652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001396317,0.001206097,0.06820335,0.0007822909,0.0003637154,0.000002063406,0.03030283,0.00001305394,0.3720323,0.1753137,0.03473033,0.3156539],"study_design_scores_gemma":[0.0004438926,0.00087836,0.001889663,0.0005040218,0.00002953179,0.000006548141,0.08792237,0.00002995036,0.5763168,0.2614196,0.07021533,0.0003439349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9669444,0.000340452,0.000001731712,0.003146762,0.0003372626,0.0008206935,0.000007232854,0.0003619563,0.02803952],"genre_scores_gemma":[0.9980146,0.0007871648,0.0002003347,0.00005389615,0.0000464539,0.0001398182,2.807835e-7,0.00001060936,0.0007467853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.31531,"threshold_uncertainty_score":0.4008238,"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."}}