{"id":"W3011842657","doi":"10.1155/2020/6326953","title":"Optimal Parameters of Service in a Public Transportation Market with Pricing","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Government of Shandong Province","keywords":"Schedule; Service (business); Competition (biology); Operations research; Public transport; Computer science; Microeconomics; Mathematical optimization; Transport engineering; Business; Economics; Engineering; Marketing; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003562547,0.0001099195,0.0002681903,0.0001847479,0.00006684534,0.0000182655,0.0001343872,0.00007218167,0.00004217583],"category_scores_gemma":[0.00004811543,0.0001045245,0.00006728838,0.001048971,0.00005519069,0.001039643,2.021387e-7,0.0001837676,3.875461e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003915971,"about_ca_system_score_gemma":0.000259243,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001490925,"about_ca_topic_score_gemma":0.003329957,"domain_scores_codex":[0.998366,0.00007064262,0.0007269248,0.0001391806,0.0005197343,0.0001775168],"domain_scores_gemma":[0.998504,0.00009751873,0.0007148968,0.00004835576,0.0004933308,0.000141837],"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":[0.001046289,0.00007952665,0.05759259,0.0001048915,0.00003525838,0.00003801378,0.08798316,0.8496796,0.0006334503,0.0006988941,0.0000165816,0.002091709],"study_design_scores_gemma":[0.003700182,0.0005794241,0.9533941,0.0003709012,0.0001351555,0.000001537598,0.03837761,0.001005163,0.0008039221,0.0001046645,0.001244719,0.0002825902],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9662638,0.000054657,0.02984467,0.003330693,0.0000779312,0.0001988848,0.00001962994,0.00002273278,0.0001869841],"genre_scores_gemma":[0.9452801,0.0001075858,0.05429167,0.0002127492,0.00003070276,0.000003699972,0.00005359286,0.00001341803,0.000006519324],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8958015,"threshold_uncertainty_score":0.4262386,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01933552376129225,"score_gpt":0.2613152481582752,"score_spread":0.241979724396983,"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."}}