{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001007288,0.0001302296,0.000129752,0.00002261114,0.000258509,0.0002018923,0.0004319168,0.00003664578,0.0001525391],"category_scores_gemma":[0.000003052493,0.0001076823,0.00002737463,0.0002680234,0.00004989275,0.002804273,0.0005290998,0.00004962786,0.00009585753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009625006,"about_ca_system_score_gemma":0.00001243576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007623951,"about_ca_topic_score_gemma":0.000009360241,"domain_scores_codex":[0.9990075,0.00002629248,0.0001479788,0.0003577598,0.0001803769,0.0002801346],"domain_scores_gemma":[0.999393,0.00002761486,0.00004356019,0.0004574395,0.00003384008,0.00004448638],"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":[0.00001119304,0.0001217555,0.01369016,0.0000433541,0.00005025819,0.00006390827,0.001723375,0.0002227644,0.0001366888,0.4828242,0.4912323,0.009880011],"study_design_scores_gemma":[0.0006998599,0.0003202919,0.02097144,0.00004534566,0.00001440459,0.0000365554,0.0002912572,0.02175989,0.002254345,0.009084056,0.9438456,0.0006769237],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.08518764,0.0007738589,0.8897234,0.0004975912,0.0005329408,0.0006587308,0.00001076376,0.0006821906,0.02193291],"genre_scores_gemma":[0.1170335,0.001415658,0.8206781,0.003411127,0.0005737917,0.0002941201,0.00009965199,0.00002967094,0.0564644],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4737402,"threshold_uncertainty_score":0.4391158,"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."}}