{"id":"W2804927879","doi":"10.15353/acmla.n158.217","title":"Where's My Parking Lot?","year":2018,"lang":"en","type":"article","venue":"Bulletin - Association of Canadian Map Libraries and Archives (ACMLA)","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Overcrowding; Computer science; World Wide Web; Distributed GIS; Parking guidance and information; Parking lot; Geographic information system; Transport engineering; Data science; Engineering; Geography; GIS applications; Cartography; AM/FM/GIS; Civil engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.002011209,0.0007762297,0.0007249999,0.001302865,0.006206252,0.008800188,0.00146155,0.00661791,0.03932811],"category_scores_gemma":[0.009495072,0.000574908,0.0005336283,0.001752047,0.002334597,0.007431903,0.002145836,0.009607338,0.01557437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002478787,"about_ca_system_score_gemma":0.004092627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01421217,"about_ca_topic_score_gemma":0.06662284,"domain_scores_codex":[0.9989147,0.0002501504,0.0001132253,0.0001427612,0.0004170965,0.0001620259],"domain_scores_gemma":[0.9960412,0.001540131,0.000198611,0.00009801444,0.001061732,0.001060275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003043039,0.00000600785,0.0003294188,0.00001900538,0.00000133107,0.00002695116,0.0000918373,0.00000937652,0.000009457571,0.0005519808,0.9898742,0.009077352],"study_design_scores_gemma":[0.00000187307,0.000005615275,0.0005400614,0.00006706477,0.000003220758,0.0001056717,0.001016759,0.00003610477,0.00002823499,0.0007321626,0.9974545,0.000008730814],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"other","genre_scores_codex":[0.0007006074,0.008972056,0.0007231715,0.8058347,0.1646879,0.00001677545,0.0003673718,0.0002154878,0.01848205],"genre_scores_gemma":[0.01795467,0.03611263,0.001919874,0.5485254,0.2091741,0.00005789312,0.001271338,0.000660921,0.1843233],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.03932811,"threshold_uncertainty_score":0.1315656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007828931478303745,"score_gpt":0.1845776842119302,"score_spread":0.1767487527336264,"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."}}