{"id":"W4382468304","doi":"10.1109/access.2023.3290847","title":"A Hybrid VLC/RF Parking Automation System","year":2023,"lang":"en","type":"article","venue":"IEEE Access","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Visible light communication; Wireless; Embedded system; Optical wireless; Microcontroller; Real-time computing; Computer hardware; Electrical engineering; Telecommunications; Engineering; Light-emitting diode","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004772834,0.0001351298,0.0001829074,0.0003293205,0.00009778237,0.0002825565,0.0004650638,0.0000552331,0.00001824215],"category_scores_gemma":[0.00003378066,0.000140168,0.00005055153,0.000629247,0.00001393071,0.000368497,0.00006137931,0.0001461861,0.001423229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001980157,"about_ca_system_score_gemma":0.00002091722,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008202644,"about_ca_topic_score_gemma":0.00001089494,"domain_scores_codex":[0.9986629,0.00004725464,0.0002674494,0.0002005778,0.0004062172,0.0004155261],"domain_scores_gemma":[0.999365,0.000119833,0.00003286372,0.0003531244,0.00005010943,0.00007909282],"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":[0.00002780072,0.00003832157,0.0408925,0.008561865,0.000508999,0.001080645,0.001462401,0.4548286,0.06505059,0.0007215129,0.3782382,0.04858848],"study_design_scores_gemma":[0.0003192468,0.0000105301,0.01826615,0.0004548564,0.00001113434,0.00005719871,0.00008312728,0.9246886,0.03827544,0.00004941747,0.01744664,0.0003376029],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9762753,0.00007979587,0.006254592,0.00002707531,0.002898412,0.0003228232,0.00001013586,0.004466329,0.009665512],"genre_scores_gemma":[0.998969,0.000009938261,0.00002464776,0.000006397385,0.0005117516,0.0001495466,0.00001299484,0.00006098567,0.0002547788],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.46986,"threshold_uncertainty_score":0.9993543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04284277089325533,"score_gpt":0.3122108090586899,"score_spread":0.2693680381654346,"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."}}