{"id":"W3215645715","doi":"","title":"Multimodal Transportation with Ridesharing of Personal Vehicles.","year":2021,"lang":"en","type":"article","venue":"arXiv (Cornell University)","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Public transport; Transport engineering; Matching (statistics); Transit (satellite); Occupancy; Travel behavior; Computer science; Population; Engineering; Mathematics","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":[0.0004566686,0.0006723191,0.0006591622,0.0005360155,0.0008351873,0.0009975262,0.001090159,0.000647952,0.004049147],"category_scores_gemma":[0.001632658,0.000238306,0.000684218,0.0009726756,0.0004878829,0.001281689,0.001369957,0.0005895175,0.001270368],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009078952,"about_ca_system_score_gemma":0.0008021367,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01471107,"about_ca_topic_score_gemma":0.02167798,"domain_scores_codex":[0.9994985,0.0001269519,0.00002063065,0.000176408,0.00009749892,0.00008005584],"domain_scores_gemma":[0.9995433,0.0000747936,0.00006768345,0.0001803514,0.00007984404,0.00005411511],"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":[0.0002745203,0.0002252174,0.00951356,0.0002678969,0.0001745927,0.0003421739,0.0002225644,0.5078803,0.01428339,0.01209196,0.009583495,0.4451404],"study_design_scores_gemma":[0.00001416491,0.000158911,0.003605177,0.0000170968,0.00006595287,0.0002524796,0.0001106297,0.9745345,0.00376902,0.006213806,0.01122689,0.00003140372],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1346282,0.001366214,0.8439802,0.0004089018,0.0001637339,0.0002117959,0.0009190883,0.003996558,0.01432536],"genre_scores_gemma":[0.9065144,0.0004083267,0.08565198,0.00009129665,0.00008029272,0.00006861568,0.000938205,0.00007475338,0.006172111],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01471107,"threshold_uncertainty_score":0.02925092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03010774774574006,"score_gpt":0.1537111175561983,"score_spread":0.1236033698104582,"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."}}