{"id":"W4313590954","doi":"10.1109/smartnets55823.2022.9994029","title":"Architecture Framework for Intelligence Orchestration in AIoT and IoT","year":2022,"lang":"en","type":"article","venue":"","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Orchestration; Computer science; Architecture; The Internet; Edge computing; Internet of Things; Cloud computing; Distributed computing; Enhanced Data Rates for GSM Evolution; Computer architecture; Embedded system; World Wide Web; Artificial intelligence; 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":[0.001605249,0.0005097766,0.0004196665,0.0006989667,0.001314392,0.00481257,0.001653253,0.001667826,0.003299318],"category_scores_gemma":[0.0009842156,0.0003841992,0.0008977969,0.0006920996,0.001847684,0.0032448,0.002742116,0.002283968,0.001334153],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00179625,"about_ca_system_score_gemma":0.002711484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006278414,"about_ca_topic_score_gemma":0.007447957,"domain_scores_codex":[0.9991937,0.0001966939,0.00009438618,0.000142919,0.0002350391,0.0001373538],"domain_scores_gemma":[0.9995769,0.00006435879,0.00003477214,0.00009406179,0.0001289031,0.0001009307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002888368,0.00004894927,0.0003370614,0.00009351808,0.00002990828,0.0002525332,0.0004566309,0.02244086,0.003403597,0.9434537,0.003234225,0.02622025],"study_design_scores_gemma":[0.00003863295,0.00007188035,0.0003719342,0.0001715945,0.00005885336,0.0003463843,0.0004112025,0.3050018,0.003300959,0.4824568,0.2077236,0.00004633806],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003392025,0.0004019082,0.9747233,0.0009962143,0.0001824654,0.0001698019,0.00005032852,0.0009595048,0.01912457],"genre_scores_gemma":[0.1763664,0.001119375,0.8021376,0.0005605231,0.0001916797,0.0005903638,0.0003961943,0.0002662671,0.0183717],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006278414,"threshold_uncertainty_score":0.01303273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0267387797507496,"score_gpt":0.2777328064278548,"score_spread":0.2509940266771052,"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."}}