{"id":"W3110165304","doi":"10.1155/2020/8876040","title":"Effects of Human Factors on Public Use of Standing-Type Personal Mobility Vehicle","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Urban Transport and Accessibility","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"New Energy and Industrial Technology Development Organization","keywords":"Personal mobility; Public transport; Transport engineering; Mile; Computer science; Acceleration; Simulation; Automotive engineering; Engineering; Telecommunications","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.0004994451,0.0002318088,0.0001816462,0.0002592586,0.0004447573,0.000523373,0.0001469958,0.0002837919,0.003161567],"category_scores_gemma":[0.003464383,0.00008318014,0.0003870466,0.0002178138,0.0003194855,0.0001939592,0.0003683683,0.0002597059,0.00038215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002363611,"about_ca_system_score_gemma":0.0003567961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006515881,"about_ca_topic_score_gemma":0.006142396,"domain_scores_codex":[0.9991688,0.0003672279,0.00005166724,0.0000940223,0.000157425,0.0001609197],"domain_scores_gemma":[0.9972098,0.001182933,0.0005167146,0.0002044355,0.0004010326,0.0004849858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001573545,0.001344209,0.9670596,0.00007354867,0.0001533208,0.0004367917,0.001650253,0.0002572306,0.00352554,0.00008849236,0.0003605497,0.0234769],"study_design_scores_gemma":[0.000005562468,0.001294635,0.9958008,0.00001277241,0.00003081118,0.00009826161,0.001769236,0.0002420184,0.0003437942,0.00003295334,0.000360185,0.000008938979],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987091,0.00007465197,0.00007777671,0.00002827797,0.00000733571,0.00001001218,0.00005577131,0.000004288474,0.001032723],"genre_scores_gemma":[0.9996105,0.00003197207,0.00003048973,0.000008975411,0.000002532326,0.000005239736,0.00002508082,0.000001138493,0.0002842608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006515881,"threshold_uncertainty_score":0.0129559,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05079982901164388,"score_gpt":0.3165587073584483,"score_spread":0.2657588783468045,"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."}}