{"id":"W2029895334","doi":"10.3141/1790-03","title":"E-Business Challenges for Intermodal Freight: Some International Comparisons","year":2002,"lang":"en","type":"article","venue":"Transportation Research Record Journal of the Transportation Research Board","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Traffic management; Transport engineering; Viewpoints; Business; Supply chain; Transportation infrastructure; Government (linguistics); Relevance (law); Rail freight transport; Industrial organization; Engineering; Marketing","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002274878,0.0002834976,0.000230427,0.002735926,0.00165549,0.00418866,0.0006112631,0.001179258,0.007698047],"category_scores_gemma":[0.005030597,0.0001710992,0.000486419,0.007569707,0.001432706,0.00553816,0.002127617,0.001418115,0.0005243946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003288255,"about_ca_system_score_gemma":0.001634203,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04535185,"about_ca_topic_score_gemma":0.08191907,"domain_scores_codex":[0.9984761,0.0005353881,0.00007957538,0.0001067957,0.0003505746,0.0004515778],"domain_scores_gemma":[0.9964209,0.0009488677,0.000499598,0.000146703,0.001713751,0.0002702324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001433624,0.0006246233,0.268031,0.002306629,0.0002860007,0.005345742,0.09264627,0.006886322,0.003689021,0.1346395,0.03749267,0.4466186],"study_design_scores_gemma":[0.00003040446,0.0004611856,0.5354342,0.0009373036,0.0001114504,0.001660421,0.2854351,0.001305501,0.001080445,0.008363184,0.1650671,0.0001136776],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6911856,0.01637012,0.001183821,0.01320866,0.000256201,0.00005694995,0.0004928443,0.00002351463,0.2772223],"genre_scores_gemma":[0.9878664,0.006855529,0.0002962088,0.0004622899,0.00006228719,0.00001938311,0.0002795312,0.00001293951,0.004145329],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04535185,"threshold_uncertainty_score":0.09017575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2242426450889071,"score_gpt":0.3460464733788162,"score_spread":0.121803828289909,"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."}}