{"id":"W4416874127","doi":"10.1109/icoici65217.2025.11254915","title":"Secure and Efficient Urban Parking Solution: A Blockchain-Integrated Smart Parking Management System","year":2025,"lang":"","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"","keywords":"Parking guidance and information; Payment; Management system; Database transaction; Smart city; Parking space; Cloud computing; Energy management; Space (punctuation)","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":[0.0004119327,0.0003234772,0.0004323468,0.000299274,0.0008576416,0.0007520065,0.0009969049,0.0006660057,0.009033242],"category_scores_gemma":[0.0005477648,0.0001855439,0.0002270635,0.0004073086,0.0003285557,0.001275667,0.001845829,0.0004468241,0.001718243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004122627,"about_ca_system_score_gemma":0.001374398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002707927,"about_ca_topic_score_gemma":0.003803437,"domain_scores_codex":[0.9996389,0.00006436333,0.00002988054,0.0000644382,0.0001064592,0.00009595937],"domain_scores_gemma":[0.9996806,0.00003988425,0.00003223331,0.00007001185,0.00009671897,0.00008057163],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.003106062,0.002072934,0.01358008,0.0008599776,0.0001955229,0.003652878,0.001425338,0.2110787,0.08677113,0.04818769,0.03754396,0.5915257],"study_design_scores_gemma":[0.0003260334,0.0006561156,0.001940772,0.0000492958,0.00006659292,0.0006685384,0.0002803354,0.9250267,0.02265872,0.01536273,0.03287436,0.00008974886],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.3274917,0.0007228291,0.607402,0.001645516,0.0003619468,0.001072808,0.0008402499,0.0116298,0.04883309],"genre_scores_gemma":[0.9614019,0.0001460112,0.02820472,0.0001402893,0.00002338814,0.00019835,0.0003025873,0.00003807154,0.009544661],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009033242,"threshold_uncertainty_score":0.0302192,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009331520354393611,"score_gpt":0.2318354550178739,"score_spread":0.2225039346634803,"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."}}