{"id":"W6992821067","doi":"","title":"Methodologies for estimating and characterizing truck volumes on rural highways","year":2004,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Traffic volume; Estimation; Volume (thermodynamics); Commercial vehicle","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0000861884,0.000193575,0.0004048721,0.0002063046,0.0001254557,0.00001133648,0.0001589829,0.0003309426,0.000001315669],"category_scores_gemma":[0.00001511185,0.0002486509,0.00009232264,0.00006716408,0.00003964262,0.00009713971,0.00001091918,0.0001903507,0.000003316987],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007219926,"about_ca_system_score_gemma":0.00001575547,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005124434,"about_ca_topic_score_gemma":0.04123339,"domain_scores_codex":[0.9994472,0.00001094637,0.0001016789,0.0001727377,0.00008362274,0.0001838343],"domain_scores_gemma":[0.9996015,0.00007192895,0.0001166158,0.0001442962,0.00003666895,0.00002899574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.002616529,0.0003217349,0.05371136,0.07175986,0.00519472,0.000526187,0.02623106,0.02888311,0.2587652,0.07496421,0.0110211,0.4660049],"study_design_scores_gemma":[0.004505097,0.001027645,0.785082,0.005292404,0.0009540335,0.00003324243,0.1361763,0.03329808,0.01678289,0.003591274,0.01070524,0.002551778],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9869466,0.0002251831,0.01047874,0.00009635653,0.0007728368,0.0003006215,0.00006003237,0.0006295757,0.0004900192],"genre_scores_gemma":[0.9211295,0.0001187376,0.07809948,0.000003510711,0.00006928993,0.000002417361,0.0002892092,0.00005075368,0.0002371004],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7313706,"threshold_uncertainty_score":0.9999966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02169518572825136,"score_gpt":0.2181415484924179,"score_spread":0.1964463627641666,"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."}}