{"id":"W823767373","doi":"","title":"Mobile Agents for Location-Aware Advertising in Mobile Wireless Environments","year":2004,"lang":"en","type":"article","venue":"Journal of the Association for Information Systems","topic":"Mobile Agent-Based Network Management","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Architecture; Information overload; Mobile commerce; Service (business); Mobile device; Push technology; Service provider; Mobile computing; Wireless; World Wide Web; Computer security; Business; Computer network; Telecommunications; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0007533722,0.0005534028,0.0004947376,0.0005612481,0.001345088,0.002688356,0.001160411,0.002121214,0.006991936],"category_scores_gemma":[0.002249605,0.0004521188,0.0003994118,0.0005826848,0.0007814979,0.002988284,0.001541079,0.001560827,0.003886656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005613161,"about_ca_system_score_gemma":0.000713491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001486271,"about_ca_topic_score_gemma":0.003432007,"domain_scores_codex":[0.9993801,0.0002713694,0.00004459055,0.00006269116,0.0001904165,0.00005087596],"domain_scores_gemma":[0.9993451,0.0002547544,0.00006402448,0.0001344509,0.0001283051,0.00007335249],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002313515,0.000158548,0.00108114,0.0004318932,0.00006865734,0.00106209,0.0009153231,0.02203269,0.013508,0.6201528,0.04466492,0.2956924],"study_design_scores_gemma":[0.0001349413,0.0001669608,0.0005340541,0.0001706973,0.0001167557,0.001031925,0.0002893376,0.322625,0.006617383,0.1243233,0.5439129,0.00007673195],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00890175,0.005684366,0.9201445,0.002723679,0.0009262736,0.0003316044,0.0001106828,0.003713917,0.05746321],"genre_scores_gemma":[0.2780553,0.005511405,0.6243556,0.0009958682,0.0007484506,0.0007133312,0.0003687555,0.000440839,0.08881058],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006991936,"threshold_uncertainty_score":0.02339029,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009054167594026148,"score_gpt":0.2329510559426261,"score_spread":0.2238968883485999,"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."}}