{"id":"W2090585151","doi":"10.1002/pts.881","title":"Measurement and analysis of truck and rail vibration levels in Thailand","year":2010,"lang":"en","type":"article","venue":"Packaging Technology and Science","topic":"Material Properties and Processing","field":"Engineering","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Truck; Vibration; Investment (military); China; Engineering; Southeast asia; Economy; Transport engineering; Business; Automotive engineering; Geography; Economics","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":[],"consensus_categories":[],"category_scores_codex":[0.0004192808,0.00004394529,0.000097907,0.000436922,0.00006614732,0.00003325008,0.00005616255,0.00004341464,0.000003583408],"category_scores_gemma":[0.00004998814,0.00003600738,0.000003548197,0.000634191,0.0003259832,0.0001240808,0.00003715376,0.00007390301,7.032634e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004185239,"about_ca_system_score_gemma":0.000008563452,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008983229,"about_ca_topic_score_gemma":0.00006919081,"domain_scores_codex":[0.9996389,0.000003039423,0.00008473518,0.0001125293,0.00006758569,0.0000932202],"domain_scores_gemma":[0.9998699,0.000004770052,0.00001544945,0.00007092924,0.00002160764,0.00001735724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000001927938,0.000002280155,0.1603808,0.0000436858,0.00001049866,4.140404e-7,0.0003615716,0.00004647337,0.8122678,0.001016674,5.689951e-7,0.02586725],"study_design_scores_gemma":[0.0002382592,0.00002737861,0.6461697,0.00005485619,0.00004914106,0.000008674302,0.000213875,0.1273291,0.2216045,0.004071242,0.00007032541,0.000162966],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997927,0.0004288318,0.001215518,0.0001618192,0.00004175324,0.00002698346,8.452259e-7,0.00003640815,0.0001608179],"genre_scores_gemma":[0.998981,0.00003163531,0.0009734762,0.000006472709,0.000002405729,0.00000163074,9.00803e-8,0.00000180928,0.00000147309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5906633,"threshold_uncertainty_score":0.1468338,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01613481993612114,"score_gpt":0.218238208452479,"score_spread":0.2021033885163579,"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."}}