{"id":"W3043175658","doi":"10.1155/2020/4905059","title":"Modeling the Curb Parking Price in Urban Center District of China Using TSM-RAM Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Smart Parking Systems Research","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Ningbo; Lanzhou Jiaotong University; Ministry of Education of the People's Republic of China; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Transport engineering; China; Per capita; Business; Tourism; Urban planning; Regression analysis; Environmental economics; Agricultural economics; Computer science; Geography; Economics; Environmental health; Engineering; Civil engineering; Population","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008908475,0.0006825576,0.0006396911,0.001294689,0.0004042994,0.001011391,0.001632568,0.0007595446,0.001759454],"category_scores_gemma":[0.001296519,0.0005358145,0.001187097,0.00107171,0.0003459835,0.0006968088,0.0006272066,0.0004879052,0.0001759209],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00173349,"about_ca_system_score_gemma":0.002141263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1353027,"about_ca_topic_score_gemma":0.08321857,"domain_scores_codex":[0.9996378,0.00009283613,0.0000246955,0.0001103756,0.00004325953,0.00009098835],"domain_scores_gemma":[0.9995323,0.0002072562,0.00008078109,0.00002304932,0.0001097267,0.0000468852],"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":[0.00005943308,0.0001204373,0.07482688,0.00006823707,0.0001079389,0.0003790437,0.0001034366,0.9137229,0.0005643051,0.001680068,0.0004827406,0.007884644],"study_design_scores_gemma":[0.000003568736,0.00001063151,0.005676197,0.000001955792,0.00001014811,0.00000748684,0.00003638806,0.9939964,0.00004680503,0.0001458348,0.0000591394,0.000005379784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9849333,0.000106987,0.01293827,0.0001664963,0.00001665124,0.00004212496,0.0004958561,0.0001128381,0.00118735],"genre_scores_gemma":[0.9969288,0.00006898401,0.001718525,0.00001054471,0.000007620102,0.00003795479,0.0003029596,0.000008630352,0.0009160413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1353027,"threshold_uncertainty_score":0.2690303,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02647047708753261,"score_gpt":0.2617591578428296,"score_spread":0.235288680755297,"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."}}