{"id":"W4313855988","doi":"10.1109/miot.2022.10012403","title":"Guest Editorial: Pervasive, Efficient, and Smart Signal Processing for IoT","year":2022,"lang":"en","type":"editorial","venue":"IEEE Internet of Things Magazine","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Agence Nationale de la Recherche","keywords":"Internet of Things; Wearable computer; Computer science; Digital signal processing; Factory (object-oriented programming); Wearable technology; Telecommunications; Data science; Computer security; Embedded system; Computer hardware","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"],"consensus_categories":[],"category_scores_codex":[0.00140529,0.0005379296,0.0008220564,0.0003601564,0.0002193781,0.0005087381,0.002244138,0.0005192611,0.000007770565],"category_scores_gemma":[0.0005410736,0.0005418497,0.0002538548,0.0003142859,0.000136445,0.0003026882,0.001224701,0.001182167,0.00001406361],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001792134,"about_ca_system_score_gemma":0.0005510711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001064873,"about_ca_topic_score_gemma":0.000002065865,"domain_scores_codex":[0.996003,0.00009159886,0.0008334075,0.001103391,0.001345265,0.0006233843],"domain_scores_gemma":[0.9963995,0.001167612,0.0009744637,0.000496114,0.0008146562,0.0001476634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007586067,0.00009216536,0.000007134336,0.0006611848,0.00005281996,0.0000113365,0.001787337,0.00003155558,0.0004416394,0.00001787288,0.991779,0.005042146],"study_design_scores_gemma":[0.0007879992,0.0005062158,0.000002287862,0.0005019019,0.00005992846,0.000009426119,0.000009832755,0.0483814,0.0006506629,0.0001915489,0.9483851,0.0005137378],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"editorial","genre_scores_codex":[0.0003105844,0.0003895041,0.05211036,0.000120133,0.9458724,0.0004154413,0.00001065695,0.0002160327,0.0005548924],"genre_scores_gemma":[0.0003988143,0.00000913817,0.008558533,0.00005686288,0.9885247,0.00004935573,0.00007014576,0.00007891373,0.002253476],"genre_candidate":"editorial","genre_consensus":"editorial","teacher_disagreement_score":0.04834985,"threshold_uncertainty_score":0.9997033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01086616420199157,"score_gpt":0.2521903214783381,"score_spread":0.2413241572763465,"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."}}