{"id":"W3127327510","doi":"10.3390/electronics10040379","title":"The Influence of Public Transport Delays on Mobility on Demand Services","year":2021,"lang":"en","type":"article","venue":"Electronics","topic":"Transportation and Mobility Innovations","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Public transport; Variance (accounting); Transport engineering; Business; Transit (satellite); Demand management; Service (business); Supply and demand; Economics; Microeconomics; Marketing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001819542,0.00008065263,0.00008472655,0.00002593184,0.00007765854,0.00001167828,0.0001115808,0.00004666456,0.00001726358],"category_scores_gemma":[0.00001085474,0.00006759492,0.00004075454,0.0003173986,0.00002719475,0.00006479273,0.000001634194,0.0001847979,0.000006484034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004649334,"about_ca_system_score_gemma":0.00008686531,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000002639146,"about_ca_topic_score_gemma":0.001246552,"domain_scores_codex":[0.9993137,0.00001503237,0.0002210491,0.0001109818,0.0001427771,0.0001965222],"domain_scores_gemma":[0.999473,0.00006997952,0.00002311211,0.0002793364,0.0001250968,0.00002942738],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","study_design_scores_codex":[0.00004263086,0.0004130846,0.01681966,0.0003118229,0.0002304681,0.000006279192,0.001151905,0.6952704,0.02724444,0.2456599,0.0000959966,0.0127535],"study_design_scores_gemma":[0.0006951209,0.0002542258,0.7578397,0.0000601756,0.00004693225,0.00000418297,0.0002646048,0.003865675,0.09016877,0.003668668,0.1427771,0.0003548068],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972933,0.0007504054,0.0003977418,0.0002819466,0.00004617656,0.00009094916,0.00001598027,0.00008857207,0.001034951],"genre_scores_gemma":[0.9991482,0.0005678312,0.00003311663,0.0001329529,0.000008463659,0.00001995464,0.00003831855,0.000009817919,0.00004133911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7410201,"threshold_uncertainty_score":0.2756441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00778049464772589,"score_gpt":0.2180343828097039,"score_spread":0.210253888161978,"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."}}