{"id":"W4390982945","doi":"10.20944/preprints202401.1250.v1","title":"IoT Communication Based on MQTT and OneNET Cloud Platform in Big Data Environment","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"MQTT; Computer science; Cloud computing; Server; Computer network; Data transmission; Bandwidth (computing); Protocol (science); Internet of Things; Push technology; Embedded system; Operating system","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":[0.001155308,0.0005824024,0.0006666296,0.0009445863,0.001398983,0.002353411,0.001213127,0.0009487492,0.002714972],"category_scores_gemma":[0.001170533,0.0002757049,0.0005148231,0.001319226,0.0007467192,0.003377569,0.001905373,0.001221063,0.0009028647],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009479558,"about_ca_system_score_gemma":0.001785378,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003992081,"about_ca_topic_score_gemma":0.002566823,"domain_scores_codex":[0.9986798,0.0001964623,0.000077558,0.000235621,0.0005630322,0.0002475549],"domain_scores_gemma":[0.999271,0.00009547629,0.00004806205,0.0001718857,0.0003208431,0.00009290621],"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":[0.002049849,0.0008776135,0.009751396,0.001189657,0.0002790458,0.003919572,0.002187886,0.04665327,0.1654208,0.312702,0.09994088,0.355028],"study_design_scores_gemma":[0.0002824486,0.0005754974,0.006836137,0.0002283574,0.0002581026,0.001963552,0.0006535463,0.634878,0.08219977,0.1101821,0.1615509,0.0003916414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08197521,0.003887516,0.8445415,0.00280006,0.002004181,0.0007397234,0.0006664813,0.01116416,0.0522212],"genre_scores_gemma":[0.8378811,0.002350776,0.1398334,0.001227019,0.0008164286,0.0005311781,0.001331065,0.0005543691,0.01547465],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003992081,"threshold_uncertainty_score":0.009082437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2613391114890602,"score_gpt":0.3366976559924295,"score_spread":0.07535854450336926,"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."}}