{"id":"W4283643625","doi":"10.3390/s22134849","title":"Enabling Fog–Blockchain Computing for Autonomous-Vehicle-Parking System: A Solution to Reinforce IoT–Cloud Platform for Future Smart Parking","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Blockchain; Cloud computing; Computer science; Internet of Things; Computer security; Edge computing; Automation; Middleware (distributed applications); Cryptography; Embedded system; Computer network; Distributed computing; Engineering; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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","sts"],"consensus_categories":[],"category_scores_codex":[0.002313028,0.0004145657,0.000572615,0.0005387983,0.001408907,0.000172552,0.000484052,0.0001762092,0.00001813391],"category_scores_gemma":[0.0001674071,0.0004919686,0.0002824012,0.0006954915,0.00002308149,0.0000605496,0.0002510372,0.0005166616,0.00002968742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001622082,"about_ca_system_score_gemma":0.00009338088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001249434,"about_ca_topic_score_gemma":0.00004567334,"domain_scores_codex":[0.9964333,0.00009712479,0.0008350252,0.0006247578,0.0006378237,0.001371929],"domain_scores_gemma":[0.998262,0.0006385318,0.0001670765,0.0005314694,0.0001589559,0.0002419511],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001461324,0.00001339648,0.0002828113,0.001301479,0.0001602962,0.00001794699,0.003718145,0.975216,0.005451925,0.0009519338,0.003111072,0.009628919],"study_design_scores_gemma":[0.0007758738,0.0001338196,0.00005382267,0.0002197303,0.00002686429,0.00007981969,0.004435373,0.7997911,0.001679349,0.00001280499,0.1923197,0.0004717138],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9413174,0.0004039129,0.0466472,0.0002133445,0.004699074,0.003672916,0.0001061981,0.001596022,0.001343908],"genre_scores_gemma":[0.9895288,0.000001388211,0.005378313,0.00005484327,0.003221142,0.0006729629,0.00005268078,0.0002132487,0.0008766028],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1892087,"threshold_uncertainty_score":0.9998911,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02165575334321948,"score_gpt":0.2514058224055358,"score_spread":0.2297500690623163,"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."}}