{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002970163,0.0002520581,0.0002203379,0.0002891162,0.0004344307,0.0006895251,0.0006975397,0.0004614094,0.004585738],"category_scores_gemma":[0.0002574066,0.0001667578,0.0005038496,0.0002642076,0.000255138,0.0006634384,0.0005253452,0.0002998301,0.0009593899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002867343,"about_ca_system_score_gemma":0.0005452777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00128058,"about_ca_topic_score_gemma":0.001768991,"domain_scores_codex":[0.9998022,0.00005712128,0.00001314237,0.00003448245,0.00006548812,0.00002768011],"domain_scores_gemma":[0.9999021,0.00001617751,0.000006574734,0.00001629826,0.00004873765,0.00001003341],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005499398,0.0003404405,0.003872234,0.0008503828,0.0002177751,0.001706697,0.0006944416,0.287383,0.08926623,0.2805243,0.02090557,0.3136891],"study_design_scores_gemma":[0.00007754671,0.0004732913,0.001106277,0.00004390227,0.00008001227,0.0009952016,0.0002054314,0.8923888,0.01829837,0.03089095,0.05538429,0.00005601723],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02521844,0.0002742425,0.9282173,0.0004084744,0.0002308543,0.0004441451,0.0002024835,0.001695471,0.04330861],"genre_scores_gemma":[0.7188663,0.0005272261,0.2548478,0.0003412814,0.00006632625,0.0007833927,0.0003924597,0.00009999971,0.02407528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004585738,"threshold_uncertainty_score":0.01534086,"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."}}