{"id":"W636161244","doi":"","title":"Truck Parking In Urban Areas: Application of Choice Modeling Within Traffic Microsimulation","year":2014,"lang":"en","type":"article","venue":"Transportation Research Board 93rd Annual MeetingTransportation Research Board","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Transport engineering; Microsimulation; Parking guidance and information; Enforcement; Parking space; Computer science; Engineering; Automotive engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00100824,0.0005477439,0.0007472478,0.0005615143,0.0004787007,0.0007797713,0.0008818015,0.0008872975,0.00189067],"category_scores_gemma":[0.002985716,0.0004598437,0.001185504,0.0008262891,0.0004886783,0.0006162922,0.001129191,0.0007182163,0.0001616042],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349929,"about_ca_system_score_gemma":0.001668511,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03739379,"about_ca_topic_score_gemma":0.02013521,"domain_scores_codex":[0.9994634,0.0003367425,0.00001884552,0.00005720363,0.00006162959,0.00006228076],"domain_scores_gemma":[0.9983574,0.001297433,0.0001199631,0.00005367459,0.0001088926,0.00006264264],"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":[0.00000778072,0.00002319564,0.0005534352,0.00000961967,0.00001932031,0.00001287749,0.00001738241,0.9915587,0.0001036535,0.006147533,0.0000486805,0.001497979],"study_design_scores_gemma":[0.000002131491,0.000006944656,0.00009981186,0.000001421065,0.000002530627,0.000002029282,0.000008310142,0.9984597,0.00003965496,0.00124299,0.0001321176,0.000002413562],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2054083,0.000311836,0.7840827,0.0004849517,0.00008516462,0.000181943,0.0002335484,0.0001542505,0.009057301],"genre_scores_gemma":[0.9254569,0.0003506143,0.06930697,0.00006545489,0.00003752662,0.0003018408,0.0001274677,0.0000567457,0.004296456],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03739379,"threshold_uncertainty_score":0.07435232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05226259485218585,"score_gpt":0.3832513437804785,"score_spread":0.3309887489282927,"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."}}