{"id":"W4229840547","doi":"10.32866/109371","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); Econometrics; Business; Term (time); Marketing; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001831056,0.0006117848,0.000498511,0.001778056,0.0008606234,0.002458522,0.001883943,0.001254474,0.00455995],"category_scores_gemma":[0.005875245,0.0005834723,0.00102787,0.00129907,0.0008971723,0.001579336,0.001184129,0.0009874352,0.001115663],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004444988,"about_ca_system_score_gemma":0.003244208,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2636714,"about_ca_topic_score_gemma":0.3114285,"domain_scores_codex":[0.9989455,0.0004096582,0.00004152604,0.0001815354,0.0001560815,0.0002655717],"domain_scores_gemma":[0.9974442,0.001433278,0.0004152338,0.0001445576,0.0004069057,0.0001558866],"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":[0.0003264531,0.0005286873,0.3701056,0.0001770644,0.0002086687,0.0007312468,0.001706352,0.4508784,0.0009642673,0.1292546,0.006118916,0.03899963],"study_design_scores_gemma":[0.00004913451,0.000103543,0.04390741,0.00007293007,0.0001167251,0.0002453944,0.0009891535,0.9250933,0.0003727706,0.01991059,0.009069879,0.00006916862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8625255,0.000753294,0.1057196,0.002251154,0.00008592872,0.0003425068,0.006379916,0.0003380093,0.021604],"genre_scores_gemma":[0.9784466,0.000307563,0.009153614,0.00005500418,0.00001816137,0.0001285197,0.001331676,0.00002811864,0.01053076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2636714,"threshold_uncertainty_score":0.5242733,"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."}}