{"id":"W2072653303","doi":"10.7307/ptt.v22i6.210","title":"Planning Model of Optimal Parking Area Capacity","year":2012,"lang":"en","type":"article","venue":"PROMET - Traffic&Transportation","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Queueing theory; Toll; Parking guidance and information; Transport engineering; Computer science; Key (lock); Queue; Range (aeronautics); Operations research; Engineering; Computer network; Computer security","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":[0.0007074093,0.0006110881,0.0007515527,0.0007098808,0.0005373578,0.001404971,0.001525555,0.001128082,0.009087935],"category_scores_gemma":[0.001139567,0.0005644589,0.0007743827,0.001037188,0.0007818234,0.001167638,0.0007284824,0.001058761,0.000704872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002380802,"about_ca_system_score_gemma":0.002506008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02242091,"about_ca_topic_score_gemma":0.01187178,"domain_scores_codex":[0.9994661,0.0001587828,0.00002362219,0.0001179557,0.00009290734,0.0001405978],"domain_scores_gemma":[0.999537,0.0002317477,0.00005259343,0.00001503805,0.0001140227,0.00004970394],"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":[0.00002899749,0.00001357031,0.0002165893,0.00003715944,0.000009407789,0.00007282241,0.00004018829,0.9684221,0.0004013029,0.0279795,0.0004834349,0.002294852],"study_design_scores_gemma":[0.00001585533,0.00001983349,0.000125943,0.000006003347,0.000008942478,0.00001556348,0.00002128142,0.9907117,0.0001384167,0.008163439,0.0007649966,0.00000793474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.07530265,0.0006998321,0.8824025,0.001045458,0.0001034229,0.0002217143,0.001686774,0.0004391614,0.03809858],"genre_scores_gemma":[0.9296877,0.000723424,0.04310914,0.00009277868,0.00003927972,0.0004992451,0.0005506909,0.00006180816,0.02523603],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02242091,"threshold_uncertainty_score":0.04458082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07140469002014205,"score_gpt":0.2686551210331191,"score_spread":0.197250431012977,"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."}}