{"id":"W2165158451","doi":"10.1145/1242572.1242796","title":"Mobile shopping assistant","year":2007,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Computer science; Asynchronous communication; Web service; Architecture; Mobile phone; World Wide Web; Mobile telephony; Mobile Web; Mobile computing; Multimedia; Mobile technology; Mobile device; Computer network; Telecommunications; Mobile radio","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":[0.0003745974,0.0006932446,0.000535955,0.0004906786,0.0008872367,0.001640735,0.001459933,0.001242192,0.1021016],"category_scores_gemma":[0.001032922,0.0003642281,0.0004012389,0.0004422467,0.0002177202,0.001546928,0.001576518,0.000655692,0.06578021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003090464,"about_ca_system_score_gemma":0.0003395982,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000862339,"about_ca_topic_score_gemma":0.001274281,"domain_scores_codex":[0.9995561,0.00005532199,0.00002847718,0.00009625102,0.0001885762,0.00007513292],"domain_scores_gemma":[0.9994022,0.00007264808,0.00002353608,0.0001548114,0.0002365006,0.0001103011],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001104259,0.0005781436,0.003230237,0.0004149497,0.00004389934,0.002124214,0.0006723957,0.000905938,0.07200964,0.02116564,0.1768178,0.7209329],"study_design_scores_gemma":[0.00009972735,0.0004001004,0.002087172,0.00007588543,0.00004421321,0.002680395,0.0002444776,0.01095004,0.02819727,0.001934795,0.9531993,0.00008660985],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.06339072,0.002109038,0.5419805,0.00253284,0.002057873,0.001488191,0.002417587,0.06320284,0.3208204],"genre_scores_gemma":[0.2179598,0.001698553,0.2499488,0.002166525,0.0005762997,0.0004232566,0.003511822,0.001922959,0.5217919],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.1021016,"threshold_uncertainty_score":0.3415639,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01308156415839901,"score_gpt":0.2664481769113925,"score_spread":0.2533666127529935,"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."}}