{"id":"W4310137665","doi":"10.18280/isi.270511","title":"An Effective Approach for Smart Parking Management","year":2022,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Payment; Computer science; Transport engineering; Management system; Parking guidance and information; Space (punctuation); Operations research; Engineering; Operations management","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":[0.0002254501,0.0005148781,0.0004134107,0.0006698935,0.0004267574,0.0008447728,0.0007093871,0.0008698252,0.00372141],"category_scores_gemma":[0.0004250148,0.0002033886,0.0004734427,0.0004229858,0.000300727,0.001159979,0.0007948428,0.0004325964,0.001204479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002872506,"about_ca_system_score_gemma":0.0006420791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001073954,"about_ca_topic_score_gemma":0.00118267,"domain_scores_codex":[0.999729,0.00004802362,0.00001939871,0.00006147168,0.0001100855,0.00003192422],"domain_scores_gemma":[0.9998951,0.00002015163,0.00001063109,0.00001968193,0.00004651336,0.000007920459],"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":[0.0001143572,0.0001643252,0.0008605122,0.0003677965,0.00005204985,0.0003284006,0.0002474252,0.116798,0.04527153,0.04888838,0.008830821,0.7780765],"study_design_scores_gemma":[0.00003323278,0.0001727088,0.0008946342,0.00005269864,0.00005152965,0.0006145249,0.0001749483,0.8917634,0.02176286,0.02039378,0.06403732,0.00004828886],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006244776,0.0003654733,0.9856067,0.0001468339,0.00009423343,0.00008391083,0.00003237879,0.001054232,0.006371403],"genre_scores_gemma":[0.3559064,0.0007186423,0.6312842,0.0002427043,0.00008893232,0.0002439613,0.0001717462,0.00009473479,0.01124865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00372141,"threshold_uncertainty_score":0.01244938,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0130100806241585,"score_gpt":0.2393152429138523,"score_spread":0.2263051622896938,"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."}}