{"id":"W2770500098","doi":"10.1155/2017/5847372","title":"Future of Container Shipping in Iranian Ports: Traffic and Connectivity Index Forecast","year":2017,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Container (type theory); Port (circuit theory); Index (typography); Transport engineering; International shipping; Operations research; Maritime industry; Order (exchange); Computer science; Cruise; Business; Operations management; Engineering; International trade; Finance","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":[0.0001588541,0.00008183512,0.0002274895,0.00008396688,0.00003505026,0.00001441657,0.00005981042,0.00005755242,0.00001354305],"category_scores_gemma":[0.00001967059,0.00007585835,0.00004148358,0.00003128473,0.0000336333,0.0003523404,8.753508e-7,0.0001681098,3.619256e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001815584,"about_ca_system_score_gemma":0.00001431494,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001084315,"about_ca_topic_score_gemma":0.0008405214,"domain_scores_codex":[0.999367,0.000005582002,0.0003745782,0.00005703253,0.0001037877,0.00009200827],"domain_scores_gemma":[0.999512,0.00002306246,0.0002670204,0.0000827413,0.00007150423,0.00004366921],"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":[0.0003247748,0.00008112084,0.2079631,0.0004777606,0.0000695393,0.000296536,0.003578189,0.5539815,0.001716263,0.0008363032,0.00002922792,0.2306456],"study_design_scores_gemma":[0.001256476,0.00006759539,0.9948463,0.0001374547,0.00002255569,0.00001584932,0.0005503483,0.001881911,0.0001544505,0.0003569906,0.0006177136,0.00009237713],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995725,0.000572243,0.003090568,0.0000653606,0.0003053257,0.00006878594,0.00001037286,0.000007653151,0.0001546416],"genre_scores_gemma":[0.9985759,0.0005285721,0.0007744716,0.000006136576,0.00009490225,8.637167e-7,0.00000444109,0.00001092311,0.000003822719],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7868831,"threshold_uncertainty_score":0.3093413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008883000250096064,"score_gpt":0.2273293575998349,"score_spread":0.2184463573497389,"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."}}