{"id":"W7147233828","doi":"10.5281/zenodo.19356228","title":"Enhancing Public Transportation through Smart Assistance Systems","year":2025,"lang":"","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"IoT and GPS-based Vehicle Safety Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Public transport; Intelligent transportation system; Software; Advanced Traffic Management System; Transportation planning; Smart city","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.001403426,0.0004457848,0.0005033163,0.0004644588,0.003433935,0.002287964,0.001283527,0.0002964949,0.003222374],"category_scores_gemma":[0.0003354769,0.0005441941,0.000175549,0.002042035,0.0001874887,0.0009778489,0.0002082657,0.0007171499,0.004907228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007778642,"about_ca_system_score_gemma":0.00002455617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001502996,"about_ca_topic_score_gemma":0.00001055574,"domain_scores_codex":[0.9958534,0.0006107173,0.001092617,0.0008173474,0.0006394798,0.0009863866],"domain_scores_gemma":[0.9974899,0.00007424411,0.0002319867,0.0008778279,0.001080883,0.0002451605],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006224492,0.001034948,0.0001242945,0.01645327,0.002103635,0.0001803549,0.01788641,0.01751747,0.06056408,0.2273798,0.4426094,0.2135238],"study_design_scores_gemma":[0.001000038,0.0001315299,0.00107694,0.00084148,0.00007644809,0.00002240154,0.001501663,0.007508587,0.00168117,0.0001055897,0.9855534,0.0005007024],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02602628,0.007629635,0.4819618,0.003083919,0.006028451,0.003277611,0.001374919,0.005245169,0.4653722],"genre_scores_gemma":[0.9905483,0.0004880305,0.0001768741,0.00009760504,0.0003940626,2.813051e-7,0.002039377,0.002041078,0.004214401],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.964522,"threshold_uncertainty_score":0.999701,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02492991223213602,"score_gpt":0.2327372100600477,"score_spread":0.2078072978279116,"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."}}