{"id":"W2009971865","doi":"10.1155/2009/854731","title":"Advances in Mobile Communications and Computing","year":2009,"lang":"en","type":"article","venue":"Mobile Information Systems","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"","keywords":"Computer science; Telecommunications; Data science","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":[0.0007486634,0.0006963256,0.0005990258,0.0009388349,0.0004274707,0.001883659,0.0006707445,0.001118881,0.04017779],"category_scores_gemma":[0.001564936,0.0002275349,0.0003534612,0.001629479,0.0007142056,0.002576134,0.001032082,0.001932022,0.01527208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000685187,"about_ca_system_score_gemma":0.001040172,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007327058,"about_ca_topic_score_gemma":0.001005007,"domain_scores_codex":[0.9995252,0.00009026572,0.00003633044,0.00006870519,0.0002181367,0.00006135731],"domain_scores_gemma":[0.9989564,0.0003813819,0.0000457393,0.0001160443,0.0003870328,0.0001133361],"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":[0.0001012035,0.00007175236,0.001169865,0.0008590964,0.00004625922,0.0003401923,0.0002667031,0.001256999,0.005793495,0.1410239,0.1403889,0.7086816],"study_design_scores_gemma":[0.000008686998,0.00005473559,0.0007889411,0.0002218934,0.00002573772,0.0005520762,0.0001102703,0.00151261,0.001047272,0.02793238,0.9677329,0.00001250603],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"review","genre_scores_codex":[0.01287241,0.3762482,0.07590485,0.02930123,0.02295905,0.0001196082,0.0004382908,0.0008526408,0.4813037],"genre_scores_gemma":[0.156799,0.3903912,0.04743906,0.003724108,0.01377851,0.0001080397,0.000780194,0.0002300714,0.3867497],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.04017779,"threshold_uncertainty_score":0.1344081,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01043838269201042,"score_gpt":0.2654772617262402,"score_spread":0.2550388790342298,"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."}}