{"id":"W7118180187","doi":"10.2174/9798898810337125010005","title":"Unleashing AI at the Edge: Transforming Computing","year":2025,"lang":"","type":"book-chapter","venue":"BENTHAM SCIENCE PUBLISHERS eBooks","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Edge computing; Transformative learning; Transformational leadership; Enhanced Data Rates for GSM Evolution; Applications of artificial intelligence; Edge device","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":[0.000464774,0.0006710674,0.0003559391,0.0008713466,0.001439688,0.006961811,0.0007398289,0.001648333,0.008994672],"category_scores_gemma":[0.001423335,0.0002949931,0.0004471748,0.001497383,0.004653826,0.007433666,0.001904043,0.003985246,0.005265428],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001899339,"about_ca_system_score_gemma":0.00178389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001993018,"about_ca_topic_score_gemma":0.002868766,"domain_scores_codex":[0.9995504,0.0001253055,0.00001408673,0.00005796948,0.000197994,0.00005424643],"domain_scores_gemma":[0.9992586,0.0004615221,0.00001957941,0.00008749105,0.0001156618,0.00005715276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001461057,0.0000129628,0.00007632057,0.0001955519,0.000006750155,0.00006735986,0.001153728,0.001228974,0.0006515841,0.8049498,0.07987496,0.1117674],"study_design_scores_gemma":[0.000002383206,0.000008929316,0.00008253264,0.0002356987,0.000004031035,0.00009105245,0.0003714421,0.001516013,0.000367802,0.275703,0.7216071,0.00001009721],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.003878905,0.09566735,0.07434329,0.02694768,0.004421606,0.00004704721,0.00009043722,0.0007010683,0.7939026],"genre_scores_gemma":[0.1298142,0.1678426,0.07106647,0.01886237,0.004631955,0.0001429498,0.0002831152,0.001014985,0.6063414],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.008994672,"threshold_uncertainty_score":0.03009015,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.015034401758095,"score_gpt":0.2260549582540385,"score_spread":0.2110205564959435,"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."}}