{"id":"W2131795689","doi":"10.1109/mdm.2008.34","title":"Mobile User Profile Acquisition through Network Observables and Explicit User Queries","year":2008,"lang":"en","type":"article","venue":"","topic":"Data Management and Algorithms","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Focus (optics); Set (abstract data type); sort; Service (business); Mobile device; User profile; Mobile phone; Ask price; World Wide Web; Phone; Recommender system; Human–computer interaction; Information retrieval; Telecommunications","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":[0.001750264,0.0007930124,0.001156311,0.00183751,0.0003488476,0.00163919,0.001054008,0.0005675144,0.0009701285],"category_scores_gemma":[0.009881035,0.0005061417,0.0003490028,0.001395819,0.0002840948,0.003504538,0.001613684,0.001252603,0.001017036],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005787155,"about_ca_system_score_gemma":0.0007226067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005918221,"about_ca_topic_score_gemma":0.01021063,"domain_scores_codex":[0.9975086,0.0007582025,0.0001622153,0.0005128447,0.0008922659,0.0001657109],"domain_scores_gemma":[0.9945326,0.002443035,0.000823655,0.001001233,0.0009257432,0.0002737609],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001239966,0.001607269,0.1427488,0.0004403724,0.0002403098,0.0005361423,0.003149045,0.03827679,0.04559428,0.006559218,0.007385207,0.7522226],"study_design_scores_gemma":[0.0000408355,0.0003954051,0.06060219,0.00004291576,0.00005516344,0.0004124605,0.0008881635,0.8995184,0.01985483,0.008403729,0.009683233,0.0001027402],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2227616,0.0003689106,0.7577004,0.0005923667,0.00004025728,0.0005636262,0.003274222,0.009630416,0.005068154],"genre_scores_gemma":[0.8720394,0.0001904233,0.1221347,0.0001465318,0.0000608645,0.0001957726,0.002888893,0.0001244,0.002219132],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005918221,"threshold_uncertainty_score":0.01176757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02568338842890566,"score_gpt":0.2348387445636492,"score_spread":0.2091553561347435,"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."}}