{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001851592,0.0001537391,0.0002378597,0.0005038035,0.0002400332,0.000187901,0.0002146898,0.0001036996,0.0005982461],"category_scores_gemma":[0.0001118155,0.0001717116,0.00005507986,0.0002330093,0.0001441109,0.00009721753,0.0000537015,0.0001741098,0.00008093698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005323419,"about_ca_system_score_gemma":0.0001179127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003967392,"about_ca_topic_score_gemma":0.01018854,"domain_scores_codex":[0.998685,0.00009402012,0.0002867795,0.0001925975,0.0002350436,0.0005065359],"domain_scores_gemma":[0.9990145,0.000378477,0.00008846028,0.000196668,0.00002594894,0.0002959708],"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":[0.00004763467,0.00001934507,0.1801069,0.0006487746,0.0004310456,0.00001900501,0.006980394,0.0001582222,0.001806939,0.03029386,0.7628375,0.01665037],"study_design_scores_gemma":[0.0002370439,0.00003943331,0.0283742,0.0001247231,0.000007933049,0.000001623368,0.0002551829,0.0011458,0.0006348451,0.0005532189,0.9684452,0.0001807601],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1916242,0.006739047,0.001035807,0.03307422,0.002950206,0.001160424,0.0004686437,0.0007292929,0.7622182],"genre_scores_gemma":[0.9763989,0.0004844966,0.004120801,0.0002390942,0.0008785085,0.00002986677,0.00003603541,0.00008243717,0.01772983],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7847747,"threshold_uncertainty_score":0.7002195,"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."}}