{"id":"W3165540167","doi":"10.11159/iccste21.118","title":"Analysis of selected parking characteristics in the Paid Parking Zone -a Case Study Based on City in Poland","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International Conference on Civil, Structural and Transportation Engineering","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Silesian University of Technology","keywords":"Transport engineering; Computer science; Parking guidance and information; Business; Engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002797043,0.0001356995,0.0002504113,0.0003587036,0.0000289715,0.00005015398,0.0001951352,0.00004093648,0.00001717557],"category_scores_gemma":[0.00007722967,0.0001013759,0.00005119069,0.0009316623,0.00001708335,0.00008781971,0.000007096849,0.0002534725,4.865272e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004626103,"about_ca_system_score_gemma":0.00002004685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002148825,"about_ca_topic_score_gemma":0.001377233,"domain_scores_codex":[0.9988627,0.00001227179,0.0004085904,0.0001714248,0.0004096593,0.000135397],"domain_scores_gemma":[0.9994672,0.000123203,0.00009151165,0.0000726861,0.0002236174,0.00002177111],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000346876,0.00003663668,0.9416887,0.0001299576,0.0001903358,0.00005490803,0.003100692,0.04232903,0.01153277,0.0005529845,7.384594e-7,0.0003486063],"study_design_scores_gemma":[0.0002535221,0.00002076583,0.6451106,0.0001437786,0.00003816233,0.000009432692,0.0006930133,0.3523505,0.001297966,0.000009721448,0.000002649589,0.00006990744],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993619,0.00001013954,0.0001024941,0.000062543,0.0001136632,0.000181898,0.00003796752,0.00001886229,0.0001105675],"genre_scores_gemma":[0.9998694,0.000006436972,0.00004351485,0.000007331583,0.00002042558,0.00002065014,0.00001956092,0.000009813954,0.000002830339],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3100214,"threshold_uncertainty_score":0.4133991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02256254237274126,"score_gpt":0.2541528264374907,"score_spread":0.2315902840647495,"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."}}