{"id":"W4240600190","doi":"10.1177/0361198106194500114","title":"Evaluation of Quartz Piezoelectric Weigh-in-Motion Sensors","year":2006,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Transport Systems and Technology","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Texas Department of Transportation","keywords":"Durability; Weigh in motion; Truck; Quartz; Piezoelectric sensor; Sensitivity (control systems); Piezoelectricity; SIGNAL (programming language); Automotive engineering; Engineering; Computer science; Materials science; Electrical engineering; Electronic engineering; Composite material","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001984069,0.000469674,0.0003254495,0.0005641572,0.0003731683,0.0005246611,0.0009333307,0.0006572533,0.001605594],"category_scores_gemma":[0.005090143,0.0002446813,0.0002679916,0.0007073036,0.0003122488,0.001001885,0.0003024602,0.0002602247,0.0003532072],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007696471,"about_ca_system_score_gemma":0.0003278086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001750932,"about_ca_topic_score_gemma":0.003411227,"domain_scores_codex":[0.9974794,0.0002758484,0.0001230006,0.0003253597,0.001706722,0.00008972044],"domain_scores_gemma":[0.9974198,0.0005587096,0.000258021,0.0001602739,0.001529867,0.00007331073],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007396903,0.0003274844,0.01931475,0.0005641845,0.00005566878,0.0004068793,0.0004247297,0.006290852,0.8766605,0.001026962,0.001696323,0.09249204],"study_design_scores_gemma":[0.00006264428,0.00429197,0.02777084,0.00005194165,0.0001066701,0.0007918272,0.000594347,0.02785715,0.9235509,0.0003238756,0.01454169,0.00005618493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9170499,0.001783467,0.07212792,0.0005499516,0.0003140609,0.0005529845,0.0008902769,0.000284277,0.006447097],"genre_scores_gemma":[0.9472568,0.0009092627,0.0442507,0.0001029867,0.00003943044,0.0000908996,0.0005937841,0.00004088096,0.00671525],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001984069,"threshold_uncertainty_score":0.01049292,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05830326163668266,"score_gpt":0.3395241299713818,"score_spread":0.2812208683346992,"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."}}