{"id":"W4231496721","doi":"10.5539/mas.v12n11p244","title":"The Ride-Hailing Mobile Application for Personalized Travelling","year":2018,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Business; Service (business); Marketing; Location-based service; Computer science; 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":[0.0002473526,0.0004293431,0.000295991,0.0005699478,0.0004889971,0.0007634385,0.0004236813,0.0005701355,0.03001165],"category_scores_gemma":[0.0006403795,0.0001288089,0.0003136099,0.0004285366,0.0001072103,0.0008096216,0.001162361,0.0004503143,0.01188615],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001459952,"about_ca_system_score_gemma":0.0002834023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001595679,"about_ca_topic_score_gemma":0.002743631,"domain_scores_codex":[0.99989,0.00002224438,0.00000873464,0.00001765574,0.00003630684,0.00002500602],"domain_scores_gemma":[0.9997883,0.00004488744,0.00001440919,0.00004977536,0.00005567918,0.00004688385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0009009943,0.0003631599,0.008134237,0.0009223418,0.00006759755,0.001170007,0.002051968,0.0008667418,0.03389102,0.003448195,0.1844716,0.7637122],"study_design_scores_gemma":[0.0002038538,0.000683027,0.04091913,0.0003379739,0.0001394704,0.003447156,0.001184931,0.02708174,0.02251822,0.002125877,0.9011414,0.0002172733],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2893792,0.008474142,0.2046255,0.002252114,0.0008001486,0.00357013,0.01948479,0.2018624,0.2695516],"genre_scores_gemma":[0.6348707,0.003948104,0.1033034,0.001605391,0.0003249941,0.00137759,0.01191778,0.003352526,0.2392995],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03001165,"threshold_uncertainty_score":0.100399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01139303286556756,"score_gpt":0.2525927480322638,"score_spread":0.2411997151666963,"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."}}