{"id":"W4389377983","doi":"10.23977/acss.2023.071007","title":"Internet of Things Based on Parking Lot System Design","year":2023,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Parking guidance and information; Payment; Parking space; Parking lot; Economic shortage; Transport engineering; Management system; Control (management); Internet of Things; Space (punctuation); Quality (philosophy); Computer science; Computer security; Engineering; Operations management; Government (linguistics)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001284354,0.0001835042,0.0004290427,0.000397784,0.00002830702,0.00007721318,0.0002365205,0.00007627884,0.00000188604],"category_scores_gemma":[0.0000134275,0.0001652631,0.000041812,0.0004518962,0.00003116391,0.000198323,0.00004674547,0.0001483646,0.00002699329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007735052,"about_ca_system_score_gemma":0.00001252431,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005300597,"about_ca_topic_score_gemma":0.000001709345,"domain_scores_codex":[0.9982831,0.0002354103,0.0005147402,0.0002725818,0.0003658513,0.000328353],"domain_scores_gemma":[0.998759,0.0008103499,0.00007655392,0.000246735,0.00004431745,0.0000630672],"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":[0.00001691828,0.000008982331,0.002855114,0.001971463,0.00002063279,0.00004890931,0.0004775408,0.9864213,0.0004194319,0.0002956935,0.0004741656,0.006989777],"study_design_scores_gemma":[0.0003051894,0.0001188125,0.0002812217,0.002736295,0.000002346926,0.000008945179,0.00009251059,0.9940705,0.0006537232,0.00001269519,0.001561317,0.0001564923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04528224,0.003943435,0.9459438,0.000007838748,0.002244354,0.0006529429,0.000003590105,0.00052935,0.0013925],"genre_scores_gemma":[0.9982356,0.00007158405,0.001404614,0.000009079835,0.0001292943,0.00007717198,0.000002928201,0.00003615475,0.00003359837],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9529533,"threshold_uncertainty_score":0.6739233,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0397878317622703,"score_gpt":0.2704473790723103,"score_spread":0.23065954731004,"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."}}