{"id":"W1819860449","doi":"10.5220/0003762800730082","title":"CONTINUOUS-TIME REVENUE MANAGEMENT IN CARPARKS","year":2012,"lang":"en","type":"article","venue":"","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Revenue; Mathematical optimization; Monte Carlo method; Computer science; Computation; Revenue management; Total revenue; Mathematics; Algorithm; Finance; Economics","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":[0.001575649,0.0006554789,0.001227552,0.000563199,0.0007315543,0.001945391,0.002095545,0.001702629,0.004850975],"category_scores_gemma":[0.003314331,0.0006967398,0.0009521169,0.0008894861,0.001790105,0.002052034,0.001248742,0.001321014,0.0003894316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002452789,"about_ca_system_score_gemma":0.001681782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01718038,"about_ca_topic_score_gemma":0.008862496,"domain_scores_codex":[0.9990428,0.0003064441,0.00003378288,0.0002209512,0.0001705153,0.000225457],"domain_scores_gemma":[0.9987061,0.0007008205,0.0001773511,0.00008334773,0.0001709335,0.0001614056],"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":[0.0000531048,0.00002161388,0.0002133541,0.00002484743,0.00001034431,0.0000695722,0.0000128873,0.9892035,0.0003403746,0.006683934,0.0002374877,0.00312896],"study_design_scores_gemma":[0.00001041149,0.0000305751,0.0001033043,0.000003671891,0.000003991753,0.00002125035,0.00002058271,0.9941409,0.0001950246,0.00512379,0.0003383849,0.000008047115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1384725,0.0005603817,0.8450058,0.0005940695,0.0001272284,0.0001339458,0.000152892,0.0005123366,0.01444091],"genre_scores_gemma":[0.9542761,0.0002139846,0.03843022,0.00005827588,0.00002504632,0.00006201117,0.0000794131,0.00006842534,0.006786508],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01718038,"threshold_uncertainty_score":0.03416079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009495955277691408,"score_gpt":0.2375712031709172,"score_spread":0.2280752478932258,"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."}}