{"id":"W1573075850","doi":"","title":"Improving road safety through truck visibility","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Traffic and Road Safety","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visibility; Truck; Transport engineering; China; Poison control; Occupational safety and health; Road traffic; Engineering; Forensic engineering; Business; Environmental health; Geography; Medicine; Political science; Automotive engineering; Law","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":[0.001341214,0.000491359,0.0002716128,0.001287148,0.0007693989,0.002457333,0.0008994965,0.0008072404,0.01050689],"category_scores_gemma":[0.006789119,0.0002193605,0.0005394095,0.0008251867,0.0006689596,0.003160629,0.00403627,0.001225638,0.002025869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008905283,"about_ca_system_score_gemma":0.002561786,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01105978,"about_ca_topic_score_gemma":0.0150063,"domain_scores_codex":[0.9987786,0.0003375499,0.0000480803,0.0001456316,0.0004242398,0.000265806],"domain_scores_gemma":[0.9979149,0.0003600277,0.0003318904,0.0001951388,0.0008377275,0.0003604059],"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":[0.0003454829,0.001162414,0.03621088,0.001245694,0.0001333082,0.000154131,0.001376478,0.01533283,0.01122864,0.0473135,0.05133216,0.8341646],"study_design_scores_gemma":[0.0002782064,0.003966529,0.1608431,0.002627586,0.0006275167,0.0005984284,0.008007403,0.02844204,0.01900329,0.1156484,0.6596612,0.0002963498],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3968059,0.02912542,0.1404388,0.04322765,0.003319778,0.0004110808,0.001438571,0.003165139,0.3820676],"genre_scores_gemma":[0.9415929,0.01194686,0.02222224,0.001422182,0.0005461641,0.0000686373,0.000570908,0.0002117723,0.02141829],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01105978,"threshold_uncertainty_score":0.0351491,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1117379030629102,"score_gpt":0.4695350938119397,"score_spread":0.3577971907490295,"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."}}