{"id":"W4381804125","doi":"10.1155/2023/5081016","title":"A Novel Reservation and Allocation Approach of Shared Parking Slots considering the Noncritical Aisle Space","year":2023,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shanghai Science and Technology Development Foundation","keywords":"Aisle; Reservation; Parking space; Parking guidance and information; Transport engineering; Revenue; Space (punctuation); Profit (economics); Computer science; Operations research; Business; Engineering; Computer network","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":[0.0005832992,0.00008044211,0.0001698068,0.0001715028,0.00004976869,0.00002208026,0.0000851628,0.00004678022,0.000001921302],"category_scores_gemma":[0.0001251691,0.00006766036,0.00004270994,0.0004076847,0.0000381561,0.0003676859,0.00000279656,0.0001815532,7.090207e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000035265,"about_ca_system_score_gemma":0.00002709662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009951053,"about_ca_topic_score_gemma":0.0000254151,"domain_scores_codex":[0.9989312,0.0000250185,0.0004506301,0.00008300655,0.0003653274,0.0001448496],"domain_scores_gemma":[0.9992974,0.0002214108,0.0001182795,0.00009710821,0.0002223769,0.00004341593],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00006331626,0.00001900345,0.004134968,0.0004538892,0.00006030701,0.000007435219,0.004251918,0.5819736,0.4064748,0.000791139,0.0001024553,0.001667191],"study_design_scores_gemma":[0.002012631,0.0001343095,0.8470927,0.0007175292,0.00006935326,0.00006666648,0.004816929,0.1183574,0.024286,0.0004615721,0.001746098,0.0002388669],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9459001,0.000209475,0.05313258,0.0002378047,0.0001966408,0.0001807624,0.000007349505,0.00004421859,0.00009104603],"genre_scores_gemma":[0.9886892,0.0001055482,0.0110641,0.000004702976,0.00007699522,0.0000111358,0.00001758475,0.00002075024,0.000009944465],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8429577,"threshold_uncertainty_score":0.2759109,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03738247979823017,"score_gpt":0.2821992174462186,"score_spread":0.2448167376479884,"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."}}