{"id":"W4399411027","doi":"10.1155/2024/4420668","title":"Exploring the Impact of a Railway Corridor on Intermodal Service Networks and Industrial Location: A Land‐Use Transport Interaction Modeling Approach","year":2024,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Transportation Planning and Optimization","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Transport engineering; Land use; Service (business); Computer science; Civil engineering; Engineering; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003865905,0.0008171074,0.0004989039,0.001119841,0.0005706297,0.001892047,0.001483472,0.001351231,0.003689128],"category_scores_gemma":[0.0006294418,0.0005570217,0.001524632,0.001748749,0.0006240124,0.001801435,0.001700611,0.000968368,0.000335899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002417325,"about_ca_system_score_gemma":0.001960346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.05340966,"about_ca_topic_score_gemma":0.03561771,"domain_scores_codex":[0.9996628,0.0001236662,0.000009513567,0.00006375487,0.00005152146,0.00008882437],"domain_scores_gemma":[0.9997154,0.0001238523,0.00005705246,0.0000187876,0.00005282004,0.00003209706],"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":[0.00001328547,0.00004591522,0.005053512,0.00001726945,0.00004035264,0.00009077742,0.00006083636,0.9828551,0.0005350714,0.008505511,0.0002192608,0.002563013],"study_design_scores_gemma":[0.000003903109,0.00001645003,0.001471521,0.000005778983,0.00001796218,0.00001351942,0.0000809529,0.9959345,0.0001028364,0.001515717,0.0008286087,0.000008223867],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6468318,0.0005842866,0.300157,0.001234389,0.00007171173,0.0001686258,0.001702548,0.0003847807,0.04886486],"genre_scores_gemma":[0.9775294,0.0004149152,0.01285257,0.0000772611,0.0000249051,0.0001783471,0.0004067744,0.00004865284,0.008467168],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05340966,"threshold_uncertainty_score":0.1061976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0972813254552709,"score_gpt":0.3203771769641977,"score_spread":0.2230958515089268,"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."}}