{"id":"W2164966922","doi":"10.1002/atr.1300","title":"A traffic assignment model for a ridesharing transportation market","year":2014,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":83,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Federal Highway Administration","keywords":"Traffic congestion; Congestion pricing; Incentive; Transport engineering; Work (physics); Price elasticity of demand; Computer science; Economics; Microeconomics; Engineering","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0009213841,0.0009441462,0.001393043,0.0009755461,0.000984421,0.002821242,0.002567903,0.003027347,0.02196768],"category_scores_gemma":[0.002344796,0.0006049501,0.001312616,0.001216176,0.001062468,0.002177525,0.001354,0.001842725,0.001782321],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002656577,"about_ca_system_score_gemma":0.00176611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02730175,"about_ca_topic_score_gemma":0.01325727,"domain_scores_codex":[0.9995044,0.0001810514,0.00001447009,0.0001049577,0.00006052537,0.0001345992],"domain_scores_gemma":[0.9992812,0.000324577,0.00009790302,0.00002708021,0.0001545665,0.0001146014],"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":[0.00005985145,0.00008391608,0.0003566221,0.00004173342,0.00001361055,0.0001577071,0.00005692142,0.9177473,0.0004939695,0.07637101,0.001940687,0.002676716],"study_design_scores_gemma":[0.00001321516,0.00001224019,0.00005949596,0.000003742527,0.000004777415,0.00001072852,0.00002732416,0.9917354,0.00002240713,0.007478147,0.000626702,0.000005847642],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2611805,0.0007740222,0.6193308,0.003088453,0.0002614786,0.0004151585,0.002000398,0.0004487688,0.1125004],"genre_scores_gemma":[0.9117243,0.0005976667,0.02569853,0.0002618924,0.00009035271,0.000381346,0.0006443459,0.00008945427,0.06051226],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02730175,"threshold_uncertainty_score":0.07348919,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011276424793424,"score_gpt":0.2353125169574056,"score_spread":0.2240360921639816,"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."}}