{"id":"W2743214534","doi":"10.1504/ijcc.2017.10006963","title":"A framework for integrating wireless sensors and cloud computing","year":2017,"lang":"en","type":"article","venue":"International Journal of Cloud Computing","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Cloud computing; Scalability; Computer science; Distributed computing; Wireless; Wireless sensor network; Virtual machine; Cloud testing; Real-time computing; Computer network; Database; Operating system; Cloud computing security","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":["metaepi_narrow","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00181954,0.0002748323,0.0004707186,0.000234374,0.0009557602,0.00180849,0.002946355,0.0001320411,0.000001080384],"category_scores_gemma":[0.001401372,0.0002555568,0.0002597643,0.00009237988,0.0001236046,0.0005769977,0.001198184,0.0006578565,0.000003292599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001145023,"about_ca_system_score_gemma":0.0001429311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002141907,"about_ca_topic_score_gemma":7.950447e-7,"domain_scores_codex":[0.9974042,0.00009581588,0.0009956799,0.0003884452,0.0006582045,0.0004577136],"domain_scores_gemma":[0.9947871,0.001405822,0.002092107,0.0004222761,0.001117163,0.0001755332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001438873,0.0001763614,0.01538924,0.00009401669,0.0006515895,0.0003673439,0.0108456,0.002011997,0.0009750187,0.1942228,0.003835404,0.7712867],"study_design_scores_gemma":[0.001873828,0.0002652249,0.007015859,0.002125013,0.00003194909,0.001348554,0.0003416578,0.9355583,0.001556716,0.04238775,0.006885674,0.0006094323],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4099873,0.00008325578,0.5565931,0.001622367,0.03129967,0.00007609818,4.023559e-7,0.00004112967,0.0002966635],"genre_scores_gemma":[0.7460859,0.000008245029,0.2331546,0.0002634714,0.02045082,3.467941e-7,6.274868e-7,0.00001986774,0.0000161147],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9335464,"threshold_uncertainty_score":0.9999897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02930868766233102,"score_gpt":0.3296838115696039,"score_spread":0.3003751239072729,"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."}}