{"id":"W4395040943","doi":"10.6007/ijarbss/v14-i4/21403","title":"Discovering Global Trends of Design in Sustainable Transportation: A Bibliometric Analysis and Visualization","year":2024,"lang":"en","type":"article","venue":"International Journal of Academic Research in Business and Social Sciences","topic":"Design Education and Practice","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Visualization; Data science; Regional science; Computer science; Geography; Data mining","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.00584448,0.0006329366,0.001045773,0.1325088,0.001163579,0.005927435,0.000601618,0.0005884172,0.003868422],"category_scores_gemma":[0.0231766,0.0002723888,0.00180281,0.1834271,0.0006754768,0.004554851,0.002439596,0.0005101145,0.0008658329],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002354462,"about_ca_system_score_gemma":0.003872061,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008264521,"about_ca_topic_score_gemma":0.006986409,"domain_scores_codex":[0.9936256,0.001092278,0.001317331,0.0004932531,0.003088072,0.0003834852],"domain_scores_gemma":[0.9805258,0.009982936,0.003222757,0.0008216529,0.005061304,0.0003855364],"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":[0.0002685857,0.0001981268,0.2810862,0.01296129,0.001191987,0.001099823,0.01476841,0.005930781,0.004252888,0.02496759,0.04285252,0.6104218],"study_design_scores_gemma":[0.00007688804,0.0002856599,0.6987564,0.004499762,0.001578465,0.001563225,0.03109344,0.0213322,0.005117327,0.01798419,0.2174584,0.0002542216],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7805454,0.02668307,0.01491569,0.00758486,0.0003357216,0.00101381,0.07156458,0.001420151,0.09593678],"genre_scores_gemma":[0.9192818,0.01980647,0.02555848,0.0002004429,0.0003076943,0.00109254,0.02849914,0.0001889461,0.005064574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8674912,"threshold_uncertainty_score":0.03090888,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1112322397914878,"score_gpt":0.4806665520630412,"score_spread":0.3694343122715533,"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."}}