{"id":"W4297103591","doi":"10.1155/2022/1568449","title":"Factors Affecting Evaluation of Railway Bulk Freight Rate: A Novel Cloud Theory-Based Approach","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Advanced Decision-Making Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; China Railway","keywords":"Randomness; Cloud computing; Computer science; Process (computing); Key (lock); Generator (circuit theory); Transformation (genetics); Operations research; Engineering; Mathematics; Power (physics); Computer security; Statistics","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":[0.004021125,0.0001894129,0.0003622025,0.0004285918,0.0001961393,0.00002540427,0.0007084069,0.0000499341,0.00002668456],"category_scores_gemma":[0.0003536774,0.0001653777,0.0002241536,0.0008444363,0.00003675527,0.0009231275,0.00001792026,0.0003984705,1.757192e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002388829,"about_ca_system_score_gemma":0.0002724725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001669842,"about_ca_topic_score_gemma":0.000001728162,"domain_scores_codex":[0.9967907,0.0003539586,0.000881908,0.0002903589,0.001491069,0.0001920234],"domain_scores_gemma":[0.9964871,0.0006779241,0.001613727,0.000367441,0.0007873908,0.00006641202],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001841257,0.0002800988,0.0002322326,0.0000233769,0.00003192903,0.000005512726,0.002801892,0.935856,0.03043259,0.01062744,0.00001276933,0.01951208],"study_design_scores_gemma":[0.01593308,0.0040381,0.1171481,0.0006029647,0.000691353,0.00009183266,0.00642864,0.1819673,0.3588895,0.3105476,0.001924306,0.001737261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3609042,0.0001019641,0.6382416,0.00002828952,0.0003890763,0.0002428275,0.00001236411,0.00004618387,0.00003338244],"genre_scores_gemma":[0.7270267,0.000003114039,0.2728546,0.00002991313,0.00003429396,0.0000134135,0.00001836506,0.00001584024,0.000003771509],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7538887,"threshold_uncertainty_score":0.6743907,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04152008247576244,"score_gpt":0.3100940333245648,"score_spread":0.2685739508488023,"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."}}