{"id":"W4285813903","doi":"10.1109/iwcmc55113.2022.9824989","title":"ThingsDriver: A Unified Interoperable Driver for IoT Nodes","year":2022,"lang":"en","type":"article","venue":"2022 International Wireless Communications and Mobile Computing (IWCMC)","topic":"IoT and Edge/Fog Computing","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Interoperability; Cloud computing; Firmware; Internet of Things; Node (physics); Usability; World Wide Web; Computer network; 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":[0.001334609,0.001303367,0.0006352817,0.0008401345,0.000558427,0.001857826,0.003745398,0.001111595,0.005890876],"category_scores_gemma":[0.002253436,0.00100448,0.0009181735,0.0004520538,0.0006006449,0.003719662,0.003244367,0.002680265,0.003386998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008514901,"about_ca_system_score_gemma":0.001274791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002322475,"about_ca_topic_score_gemma":0.002643678,"domain_scores_codex":[0.9988748,0.0001027648,0.000149801,0.0001712845,0.0004976019,0.0002036902],"domain_scores_gemma":[0.9991753,0.0001065876,0.00006226816,0.0002337319,0.0003057668,0.0001163704],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001673179,0.0008315764,0.0109292,0.002237129,0.0003279882,0.002602125,0.003797638,0.0214161,0.1787785,0.2169448,0.2305151,0.3299467],"study_design_scores_gemma":[0.0002209709,0.0004652843,0.002146813,0.0002021865,0.0001577621,0.001099882,0.0002578721,0.1497449,0.09321352,0.01506734,0.7371141,0.0003092774],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"software","genre_scores_codex":[0.01772919,0.0005880705,0.8590345,0.0005153348,0.0006951702,0.001487903,0.00189844,0.08881439,0.02923694],"genre_scores_gemma":[0.3511213,0.001867048,0.5252049,0.002619782,0.0002536422,0.003930004,0.01803953,0.02567508,0.07128865],"genre_candidate":"software","genre_consensus":null,"teacher_disagreement_score":0.005890876,"threshold_uncertainty_score":0.01970696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02080479816972131,"score_gpt":0.2778924861531965,"score_spread":0.2570876879834752,"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."}}