{"id":"W3130087870","doi":"10.3390/smartcities4010016","title":"A Dynamic Mobility Traffic Model Based on Two Modes of Transport in Smart Cities","year":2021,"lang":"en","type":"article","venue":"Smart Cities","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; University of Ottawa","keywords":"Public transport; Scheme (mathematics); Transport engineering; Bike sharing; Computer science; Smart city; Personal mobility; Travel time; Simulation; Computer network; Engineering; Computer security; Internet of Things","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000156989,0.0001787451,0.0002814617,0.0002094614,0.00003742573,0.00001013139,0.00008984673,0.00007558118,0.0001078019],"category_scores_gemma":[0.00001200797,0.0002055103,0.0001126056,0.0003686946,0.0001169435,0.0001181074,0.000002585332,0.0001841613,0.000002719566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007707312,"about_ca_system_score_gemma":0.0001521346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005312705,"about_ca_topic_score_gemma":0.004904588,"domain_scores_codex":[0.9988658,0.00002127904,0.000476937,0.000208491,0.0002076276,0.0002198601],"domain_scores_gemma":[0.9994501,0.00006630753,0.0000264699,0.0003126257,0.0001046338,0.00003988601],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000228019,0.0001219583,0.006552349,0.0002476541,0.00001816574,0.000005147091,0.001331037,0.9866874,0.001450208,0.003209826,0.00002157256,0.0003318619],"study_design_scores_gemma":[0.0007364648,0.00002341855,0.05118658,0.00008705314,0.00001869363,7.118504e-7,0.001420306,0.9419088,0.003492588,0.0008360322,0.00007912779,0.0002102779],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829305,0.00006664061,0.01216988,0.0001163637,0.000121573,0.0001738517,0.0003080224,0.0002187057,0.003894438],"genre_scores_gemma":[0.9977393,0.00001884308,0.001510311,0.0001030217,0.000005983045,0.00008585001,0.0002416636,0.00002720055,0.0002677888],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04477867,"threshold_uncertainty_score":0.8380467,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0139827952352256,"score_gpt":0.2337137489345892,"score_spread":0.2197309536993636,"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."}}