{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004709196,0.0004676574,0.0006489062,0.0009855547,0.0005798532,0.0007792409,0.001592707,0.0008180735,0.005305037],"category_scores_gemma":[0.0003227114,0.0002405105,0.0003292481,0.0005191067,0.0002748409,0.000871761,0.001078047,0.0003468009,0.002955228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003302642,"about_ca_system_score_gemma":0.0005381479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009866859,"about_ca_topic_score_gemma":0.0009260044,"domain_scores_codex":[0.9991152,0.0001153071,0.00004452936,0.0001814364,0.0004052684,0.0001382219],"domain_scores_gemma":[0.999633,0.00003284734,0.00003615647,0.00007720012,0.0001680987,0.00005272434],"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":[0.000958555,0.0005534335,0.006567859,0.0004586576,0.0001169673,0.001033468,0.0003580108,0.01327464,0.2647518,0.007489836,0.02761851,0.6768183],"study_design_scores_gemma":[0.0006060741,0.003276506,0.01487558,0.0001017798,0.0003745864,0.005411635,0.0003113728,0.4825324,0.285353,0.002749129,0.2040256,0.0003822481],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2077642,0.001006371,0.7086099,0.0005842007,0.0005142957,0.0005351988,0.0005483511,0.0373296,0.04310789],"genre_scores_gemma":[0.8724107,0.0001856192,0.1076882,0.0004767551,0.0001588272,0.0002362678,0.0006172744,0.0001503299,0.01807615],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005305037,"threshold_uncertainty_score":0.01774704,"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."}}