{"id":"W4210796673","doi":"10.1371/journal.pone.0263476","title":"User characteristics and service satisfaction of car sharing systems: Evidence from Hangzhou, China","year":2022,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Science Foundation of Zhejiang Province","keywords":"Renting; Sharing economy; Business; Service (business); Government (linguistics); Marketing; Descriptive statistics; Travel behavior; Computer science; Advertising; Transport engineering; World Wide Web; Engineering; Statistics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.00006383908,0.00005627715,0.0001191854,0.00004655997,0.00005569788,0.00001332799,0.00005164699,0.00001943101,0.0001028496],"category_scores_gemma":[0.00001249314,0.00006981122,0.000008748014,0.0001637049,0.000006104218,0.0001175228,0.00001483525,0.0001042332,0.000002309164],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000386371,"about_ca_system_score_gemma":0.000007410076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001010236,"about_ca_topic_score_gemma":0.00018386,"domain_scores_codex":[0.9994916,0.000008950178,0.0001909656,0.00009453992,0.0001508332,0.00006311629],"domain_scores_gemma":[0.999726,0.00002836418,0.00003797406,0.0001377166,0.00004828667,0.00002166889],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001451746,0.0001134993,0.618833,0.0009954781,0.0002321888,0.000001878216,0.003979662,0.006569632,0.3685514,0.0004154143,0.00002841928,0.0002648339],"study_design_scores_gemma":[0.00009710724,0.00001316816,0.9772029,0.000162764,0.00006859007,3.896684e-7,0.0002103994,0.01987852,0.002229629,0.00001466854,0.00004477456,0.00007706794],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986801,0.0001710317,0.0004465747,0.00007936358,0.00008917022,0.0001543048,0.0002469579,0.0001064455,0.00002611251],"genre_scores_gemma":[0.9993879,0.00005479415,0.0003400028,0.00002577463,0.00002566575,0.00005738379,0.00007019367,0.00001254305,0.00002581081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3663218,"threshold_uncertainty_score":0.2846819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04090672966672492,"score_gpt":0.213994543517934,"score_spread":0.173087813851209,"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."}}