{"id":"W7127384203","doi":"10.1109/ccece64018.2025.11364402","title":"Smart Car Rental Parking Monitoring: Pickup or Return Using AI and IoT","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"New York Institute of Technology","funders":"","keywords":"Renting; Dashboard; Identification (biology); Scalability; Parking lot; Handover; Parking guidance and information; Deep learning","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":[0.0001625089,0.0005545648,0.0003428382,0.0006130154,0.0002959879,0.0005729574,0.000684471,0.0004180055,0.001493268],"category_scores_gemma":[0.0003530222,0.0002127425,0.0003448018,0.0005512181,0.0002063776,0.001319945,0.0005337348,0.0003378119,0.0006763616],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003324337,"about_ca_system_score_gemma":0.0003891621,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00338958,"about_ca_topic_score_gemma":0.006416993,"domain_scores_codex":[0.9997982,0.00002027101,0.0000111096,0.00006294448,0.00006277279,0.0000446379],"domain_scores_gemma":[0.999856,0.00001941202,0.00001831152,0.00003029648,0.00005648555,0.00001939766],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008263494,0.0005999606,0.04424725,0.0004352507,0.0001781762,0.001154746,0.0002882101,0.04383703,0.130674,0.004657153,0.01628154,0.7568203],"study_design_scores_gemma":[0.0000357466,0.0002756269,0.02767115,0.00006474837,0.0001353968,0.000938464,0.0003268945,0.8787851,0.06698898,0.004149338,0.0205421,0.00008637063],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4684965,0.00240754,0.4836595,0.0009866393,0.0004565192,0.0002811133,0.001169868,0.01142147,0.03112091],"genre_scores_gemma":[0.9543666,0.0003250422,0.04135632,0.0002001223,0.00004335281,0.00003900371,0.0004201854,0.00004738083,0.003201995],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00338958,"threshold_uncertainty_score":0.006739676,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04587496848986233,"score_gpt":0.3365941463530192,"score_spread":0.2907191778631569,"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."}}