{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008540277,0.001637872,0.001493798,0.0007889321,0.0007670101,0.002493727,0.001970628,0.002002204,0.01247482],"category_scores_gemma":[0.002835473,0.0007612979,0.001487871,0.001221603,0.0008519588,0.001478156,0.001446346,0.002321444,0.00119191],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00295792,"about_ca_system_score_gemma":0.001994683,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03007655,"about_ca_topic_score_gemma":0.01918149,"domain_scores_codex":[0.9994147,0.0001798557,0.0000215963,0.0001390964,0.0001109158,0.000133849],"domain_scores_gemma":[0.9989733,0.000657512,0.0001203407,0.00003575773,0.0001450531,0.00006809624],"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":[0.00001415261,0.00002311281,0.000131232,0.00003830102,0.00001475919,0.00003158591,0.00002320358,0.9658409,0.00009953543,0.02940757,0.001492925,0.002882864],"study_design_scores_gemma":[0.000006708101,0.000008687082,0.0000715939,0.000007490018,0.000006358369,0.000007637046,0.00001654787,0.989634,0.00003391581,0.008219625,0.001982279,0.000005152308],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04138423,0.003474033,0.8575518,0.002781916,0.0003749005,0.0002230123,0.001601984,0.0004279274,0.09218022],"genre_scores_gemma":[0.7912351,0.005092802,0.1074876,0.0005162084,0.0002185122,0.0008305507,0.001849806,0.0003243956,0.09244487],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03007655,"threshold_uncertainty_score":0.05980301,"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."}}