{"id":"W2930977361","doi":"10.1111/exsy.12404","title":"Dynamic framework to mining Internet of Things for multimedia services","year":2019,"lang":"en","type":"article","venue":"Expert Systems","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Zayed University","keywords":"Computer science; The Internet; Witness; Classifier (UML); Multimedia; Artificial intelligence; World Wide Web","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":[0.0003083581,0.0001304726,0.0002660806,0.0001024164,0.00003736718,0.0001250291,0.0009241569,0.00009057123,0.000001713955],"category_scores_gemma":[0.00002944104,0.0001153495,0.00006804261,0.0001780828,0.000007530124,0.0002772574,0.0002736864,0.00006692277,0.00009639612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003959453,"about_ca_system_score_gemma":0.0000193445,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003418613,"about_ca_topic_score_gemma":0.000001110162,"domain_scores_codex":[0.9988425,0.00003149916,0.0003099119,0.0003396745,0.0001979488,0.0002784041],"domain_scores_gemma":[0.9989539,0.0003019219,0.0001382375,0.0004429999,0.00008669219,0.00007624843],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009376901,0.0002057686,0.01226581,0.002458569,0.0002496041,0.0000133519,0.8294913,0.0008181867,0.02729015,0.006860667,0.0317146,0.08853825],"study_design_scores_gemma":[0.0001714554,0.0001067751,0.0001671533,0.0008523492,0.000001337562,0.000005033874,0.0006863827,0.9784522,0.0007889845,0.00006082723,0.01853044,0.0001770559],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2593162,0.0005845128,0.7138633,0.0001709576,0.02485851,0.0005137416,2.232264e-7,0.000142167,0.0005503057],"genre_scores_gemma":[0.7931157,9.748895e-7,0.2050767,0.0004248384,0.0005888117,0.00003444526,0.000002315483,0.00001717306,0.0007390486],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.977634,"threshold_uncertainty_score":0.4703815,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01020310297360259,"score_gpt":0.2655257208173789,"score_spread":0.2553226178437763,"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."}}