{"id":"W32610407","doi":"10.3760/cma.j.cn115330-20191112-00684","title":"Evaluation of the Economic Feasibility of Weigh-In-Motion in Canada","year":2008,"lang":"en","type":"article","venue":"Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery","topic":"Transport Systems and Technology","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Weigh in motion; Truck; Transport engineering; Software deployment; Enforcement; Cost–benefit analysis; Engineering; Computer science; 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":[0.002932451,0.0008588331,0.0006046904,0.001552743,0.001375477,0.00221547,0.001209609,0.0007058259,0.002235022],"category_scores_gemma":[0.00878045,0.0003813792,0.000954774,0.002224965,0.0009325578,0.0007733536,0.0009917303,0.0009429322,0.00007782938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05611178,"about_ca_system_score_gemma":0.03174296,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9435854,"about_ca_topic_score_gemma":0.9279712,"domain_scores_codex":[0.9975395,0.0005888084,0.00005622059,0.0001560181,0.0008243828,0.0008350813],"domain_scores_gemma":[0.996424,0.001854765,0.0002055983,0.0001028933,0.001218301,0.0001942827],"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":[0.002621894,0.000533257,0.05771776,0.0007559561,0.0003320272,0.001441804,0.0002239026,0.8578692,0.005889945,0.02584636,0.00477686,0.04199099],"study_design_scores_gemma":[0.0005345942,0.002093436,0.1223138,0.0001819077,0.0008347298,0.0002615028,0.003100997,0.843449,0.008344306,0.005079144,0.01357231,0.0002342804],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9632959,0.0006457708,0.003048312,0.0008613695,0.00002637148,0.0006290661,0.002821145,0.00004728392,0.02862477],"genre_scores_gemma":[0.994675,0.0003987852,0.002120421,0.00005311949,0.000003959402,0.0000729102,0.0004908467,0.000006921295,0.002178043],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0564146,"threshold_uncertainty_score":0.4071213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02253525472167497,"score_gpt":0.2305512253549983,"score_spread":0.2080159706333234,"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."}}