{"id":"W172327827","doi":"10.4018/978-1-59904-832-1.ch026","title":"Real-Time Location Tracking Mashup for Enterprise","year":2008,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Web Applications and Data Management","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Systems, Applications & Products in Data Processing (Canada)","funders":"","keywords":"Mashup; Web service; Truck; Computer science; Service (business); Web application; Tracking (education); Architecture; Service-oriented architecture; Database; World Wide Web; Operating system; Engineering; Business; Web development; Geography","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":[0.0004312807,0.0004229405,0.0002538396,0.0005164222,0.0004267606,0.0009280855,0.0008047459,0.0006524753,0.006045026],"category_scores_gemma":[0.0006844717,0.0002306595,0.0002046015,0.0006632234,0.0002942561,0.0020677,0.001077509,0.0009011471,0.003351151],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003911949,"about_ca_system_score_gemma":0.000338153,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001520359,"about_ca_topic_score_gemma":0.002337212,"domain_scores_codex":[0.9997832,0.00003863988,0.00001074314,0.00005081863,0.00009206489,0.00002461148],"domain_scores_gemma":[0.9996645,0.00009218741,0.00002106273,0.0001284089,0.00003501073,0.00005872701],"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":[0.0003317215,0.0002833487,0.0009800728,0.0003283096,0.0000427921,0.0008655078,0.001044388,0.01347664,0.08908346,0.0657858,0.07136478,0.7564131],"study_design_scores_gemma":[0.00008561398,0.0001988399,0.002993411,0.0001424586,0.00005882334,0.001497686,0.0004066773,0.3368767,0.09348064,0.07619534,0.487953,0.0001108515],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0178182,0.0007971502,0.9159937,0.0004221761,0.0001510731,0.0001427444,0.0005178955,0.04021531,0.02394173],"genre_scores_gemma":[0.2572176,0.001112869,0.6850336,0.0002953608,0.0002087478,0.0002837103,0.002397094,0.002212453,0.05123863],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.006045026,"threshold_uncertainty_score":0.0202226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02063422193086389,"score_gpt":0.249521185584682,"score_spread":0.2288869636538181,"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."}}