{"id":"W3167838610","doi":"10.4230/lipics.isaac.2021.39","title":"Multimodal Transportation with Ridesharing of Personal Vehicles","year":2021,"lang":"en","type":"preprint","venue":"DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Public transport; Transport engineering; Transit (satellite); Occupancy; Travel behavior; Travel time; Population; Transit system; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"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":[0.0004240327,0.000648746,0.0009509319,0.0004396298,0.000953588,0.001179359,0.001248245,0.0007448905,0.004330299],"category_scores_gemma":[0.001564929,0.000282935,0.0008880795,0.001067936,0.0006422963,0.001263356,0.001399629,0.0006749462,0.0009369659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009898131,"about_ca_system_score_gemma":0.000919181,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02013779,"about_ca_topic_score_gemma":0.02067409,"domain_scores_codex":[0.9993573,0.0001571896,0.00002895051,0.00023351,0.0001159764,0.0001070575],"domain_scores_gemma":[0.999556,0.00008001504,0.0000488408,0.0001892899,0.00007957093,0.00004619825],"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":[0.0001974912,0.0001351106,0.004175978,0.0001266509,0.00008139244,0.0002811095,0.0002248784,0.7673522,0.01059371,0.008096715,0.002763363,0.2059714],"study_design_scores_gemma":[0.00001060887,0.00009783157,0.001469387,0.000008115308,0.00003069709,0.0001319329,0.00006175069,0.9881776,0.002719788,0.003707145,0.003564414,0.00002076665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1723153,0.0005217885,0.8159361,0.0002314257,0.00007350735,0.0001302229,0.0004148364,0.002676766,0.007700024],"genre_scores_gemma":[0.9194552,0.0002064398,0.07484088,0.00004276894,0.0000441576,0.00005116078,0.0004287672,0.00006329364,0.004867392],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02013779,"threshold_uncertainty_score":0.04004115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01263337051455083,"score_gpt":0.2272274399913445,"score_spread":0.2145940694767937,"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."}}