{"id":"W3129945018","doi":"10.1155/2021/8820701","title":"Structure Analysis of Factors Influencing the Preference of Ridesplitting","year":2021,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preference; Incentive; Structural equation modeling; Destinations; Cognition; The Internet; Marketing; Questionnaire; Modal; Service (business); Survey data collection; Path analysis (statistics); Business; Microeconomics; Psychology; Economics; Computer science; Tourism; Statistics; Geography; Mathematics","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":[0.001507838,0.0003413481,0.0003148976,0.001402006,0.0004693846,0.0008249355,0.00033659,0.0004414313,0.006701162],"category_scores_gemma":[0.007421959,0.0001844003,0.001116345,0.00104882,0.0003848812,0.000478473,0.0005665724,0.0005490551,0.000433252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008043066,"about_ca_system_score_gemma":0.001192014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01360817,"about_ca_topic_score_gemma":0.01589184,"domain_scores_codex":[0.9992411,0.0002424297,0.00006776954,0.0001421538,0.0001585272,0.0001479373],"domain_scores_gemma":[0.9937935,0.003327683,0.0009788391,0.0004369745,0.0010946,0.00036833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008084641,0.0001498864,0.9904945,0.00002093081,0.00007737599,0.00007473171,0.0006758473,0.0006947206,0.0008100328,0.000576023,0.0001382491,0.006206858],"study_design_scores_gemma":[0.00001401194,0.0002013771,0.9844185,0.0000102924,0.00007103873,0.00005841202,0.001629293,0.01240811,0.0003279802,0.0005090567,0.0003367336,0.00001512975],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982808,0.0000178432,0.000814134,0.00003119106,0.000002402707,0.00002889961,0.0001091769,0.000007198616,0.0007084397],"genre_scores_gemma":[0.9987348,0.00001468388,0.0005447926,0.000007537035,0.000001926057,0.00002124951,0.0002893296,0.000002350555,0.0003833459],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01360817,"threshold_uncertainty_score":0.02705789,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01330783306227172,"score_gpt":0.2383298269345952,"score_spread":0.2250219938723235,"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."}}