{"id":"W4224981402","doi":"10.1155/2022/3664105","title":"Mathematical Model and Algorithm of Multi-Index Transportation Problem in the Background of Artificial Intelligence","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transportation theory; Mathematical model; Computer science; Index (typography); Diversification (marketing strategy); Transportation planning; Water transport; Flow network; Intelligent transportation system; Operations research; Transport engineering; Mathematical optimization; Engineering; Mathematics; Business","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":[0.001120388,0.0008177182,0.001040703,0.001069569,0.001005435,0.002287322,0.002106227,0.00170514,0.002746088],"category_scores_gemma":[0.001878745,0.0004070171,0.001354206,0.001807109,0.0009927483,0.002874347,0.001056078,0.002099024,0.0005666845],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00203053,"about_ca_system_score_gemma":0.002315783,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01084859,"about_ca_topic_score_gemma":0.004531847,"domain_scores_codex":[0.9992379,0.0001899842,0.00005701069,0.0001907161,0.0002490189,0.00007526187],"domain_scores_gemma":[0.9995611,0.0001928241,0.00005509896,0.00002125884,0.0001491991,0.00002058701],"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":[0.00002595923,0.00003521219,0.000696205,0.0002609561,0.00003110536,0.0001630125,0.0001483572,0.8068365,0.001109162,0.1496965,0.004024802,0.03697235],"study_design_scores_gemma":[0.000007624659,0.00001810417,0.00009272691,0.00001611341,0.000006748995,0.00006438711,0.00002140165,0.9693716,0.00020305,0.0278729,0.002313683,0.00001178213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002704938,0.0007777183,0.9912464,0.0005137937,0.00008280593,0.00005448556,0.0000662419,0.00006708156,0.004486588],"genre_scores_gemma":[0.3998024,0.006226162,0.5763386,0.0003647341,0.0003931207,0.001054773,0.0007275797,0.0001185718,0.01497408],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01084859,"threshold_uncertainty_score":0.02157086,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0379202315607846,"score_gpt":0.3195637782957758,"score_spread":0.2816435467349911,"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."}}