{"id":"W2989872627","doi":"10.32866/10937","title":"Modeling the Purpose for Renting Passenger Vehicles","year":2019,"lang":"en","type":"article","venue":"Findings","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Renting; Multinomial logistic regression; Sample (material); Business; Econometrics; Term (time); Transport engineering; Statistics; Economics; Engineering; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001118917,0.0000520705,0.00005260007,0.00003250434,0.00005086642,0.00002517273,0.00006699887,0.00003064808,0.00004148727],"category_scores_gemma":[0.0000105381,0.00004238977,0.00003620515,0.0001027353,0.00000529646,0.00007738607,0.00000292491,0.00007098372,0.00004213382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001218716,"about_ca_system_score_gemma":0.000004979919,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000366826,"about_ca_topic_score_gemma":0.000009106495,"domain_scores_codex":[0.999633,0.000001834714,0.0001242911,0.00007066615,0.00005465844,0.0001155531],"domain_scores_gemma":[0.9998107,0.00003418814,0.000006921996,0.0001034128,0.0000327467,0.00001205261],"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":[0.00001940613,0.00004496652,0.01849353,0.0004207811,0.0001321757,6.726007e-7,0.007486456,0.6888292,0.1703448,0.09825778,0.005612507,0.01035768],"study_design_scores_gemma":[0.0004148051,0.00001232435,0.00625074,0.00003608668,0.00002019978,8.470722e-7,0.0005164704,0.9523815,0.005298643,0.001179337,0.03370102,0.0001880515],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9816161,0.00002183212,0.0166851,0.0003231954,0.0002383161,0.0002532446,0.00001131077,0.0001593242,0.0006915269],"genre_scores_gemma":[0.9988311,0.000003098143,0.0007225812,0.0000717538,0.00003507218,0.00004436801,0.00002463015,0.00001464002,0.0002527638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2635523,"threshold_uncertainty_score":0.1728604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01558095805520242,"score_gpt":0.2235009885859049,"score_spread":0.2079200305307025,"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."}}