{"id":"W4390117301","doi":"10.1109/models-c59198.2023.00059","title":"IoTMoF: A Requirements-Driven Modelling Framework for IoT Systems","year":2023,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Software deployment; Code generation; Model-driven architecture; Domain (mathematical analysis); Code (set theory); Model-based design; Software engineering; Internet of Things; Distributed computing; Systems engineering; Embedded system; Unified Modeling Language; Key (lock); Simulation; Software; Engineering; Programming language; Computer 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005889307,0.002145374,0.001237883,0.003171386,0.001299257,0.004477583,0.003928619,0.002603762,0.004004644],"category_scores_gemma":[0.00609257,0.001612164,0.004022946,0.001861795,0.001595611,0.00387971,0.002956529,0.003556329,0.001776262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002387557,"about_ca_system_score_gemma":0.004978936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01229947,"about_ca_topic_score_gemma":0.01558687,"domain_scores_codex":[0.9966872,0.00101559,0.0004516824,0.0002979968,0.001224052,0.0003234552],"domain_scores_gemma":[0.9977989,0.0009662971,0.0002691003,0.0003801396,0.0004630264,0.000122588],"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":[0.0001172141,0.0002382787,0.001164502,0.001524251,0.0001987639,0.001433687,0.00258113,0.2852075,0.01237436,0.5621043,0.02254295,0.1105131],"study_design_scores_gemma":[0.00009289153,0.00009788459,0.0004629095,0.0008209583,0.00009179162,0.0007926184,0.0004233313,0.5190983,0.007563996,0.1463206,0.324071,0.0001637877],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008753148,0.0001277109,0.9914551,0.0003167688,0.00004387537,0.0003474777,0.0006937354,0.002543649,0.003596385],"genre_scores_gemma":[0.01808404,0.0005396598,0.9736049,0.0001891624,0.00003645618,0.001490437,0.002597586,0.0009097346,0.00254793],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01229947,"threshold_uncertainty_score":0.03114605,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06115862320424473,"score_gpt":0.3012839533360005,"score_spread":0.2401253301317558,"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."}}