{"id":"W2564833931","doi":"","title":"Dynamic Optimization Models for Ridesharing and Carsharing","year":2014,"lang":"en","type":"dissertation","venue":"TSpace","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Toronto","keywords":"Revenue; Benchmark (surveying); Car sharing; Transport engineering; Revenue management; Service (business); Operations research; Computer science; Fuel efficiency; Business; Engineering; Marketing; Automotive engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006976784,0.0001662345,0.0001734535,0.0001339635,0.00006787696,0.0000427719,0.00006205605,0.0001638706,0.00002119408],"category_scores_gemma":[0.00001227844,0.0002045602,0.00004040588,0.0001001709,0.000006730436,0.0001026469,0.00000223398,0.0001276465,0.000001722386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004379279,"about_ca_system_score_gemma":0.00001610898,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000251357,"about_ca_topic_score_gemma":0.0005094074,"domain_scores_codex":[0.9993919,0.000002762518,0.0002012834,0.0001856898,0.00007665667,0.0001417797],"domain_scores_gemma":[0.9996552,0.00002808775,0.00004543449,0.0001415054,0.00009145172,0.00003830765],"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":[0.000006834161,0.000003673997,0.000007366583,0.0005102121,0.00003148381,1.171819e-7,0.00176448,0.9931837,0.0004759795,0.002521036,0.00008732599,0.001407799],"study_design_scores_gemma":[0.0002234852,0.000007956492,0.0003586675,0.00009911337,0.00005881712,4.143008e-7,0.0005739427,0.9971566,0.0002892453,0.0004306366,0.0005828093,0.000218321],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.136307,0.0004315648,0.8495165,0.00004051733,0.0007296966,0.0007570866,0.00004745534,0.0006583479,0.01151189],"genre_scores_gemma":[0.9660277,0.000180305,0.02374405,0.00002446735,0.0000397046,0.0002501008,0.004749316,0.0001167141,0.004867597],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8297208,"threshold_uncertainty_score":0.8341722,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01432048325162444,"score_gpt":0.2853025192680581,"score_spread":0.2709820360164336,"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."}}