{"id":"W2900979618","doi":"10.1002/9781118786352.wbieg0242","title":"Rail Transport: Freight","year":2017,"lang":"en","type":"other","venue":"International Encyclopedia of Geography","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Rail freight transport; Traffic management; Transport engineering; Train; Business; Procurement; Standardization; Competition (biology); Industrial organization; Engineering; Computer science; Marketing; Geography","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005592598,0.001608826,0.0005846697,0.004152845,0.001532004,0.008035954,0.001054251,0.002398812,0.420994],"category_scores_gemma":[0.002073751,0.000313151,0.0004139162,0.007999524,0.0007819619,0.008098191,0.003483189,0.00204713,0.3972819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002214176,"about_ca_system_score_gemma":0.003475665,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01092438,"about_ca_topic_score_gemma":0.006765616,"domain_scores_codex":[0.9990379,0.00009975211,0.00008133699,0.0001640155,0.0004772489,0.0001397869],"domain_scores_gemma":[0.9992913,0.00006370067,0.00006583504,0.0001062924,0.0003422773,0.0001305086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001989638,0.00002630377,0.0003114036,0.0002564239,0.000003553035,0.00006279032,0.0001538003,0.0002075121,0.0002454131,0.03089636,0.805732,0.1620847],"study_design_scores_gemma":[7.795896e-7,0.000002630714,0.0001147234,0.00005859222,5.28776e-7,0.00003395051,0.00004072608,0.00002288634,0.00003782417,0.0008243478,0.9988608,0.000002177939],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000775885,0.004064965,0.0027799,0.002787469,0.002124444,0.00009179298,0.01210142,0.003452995,0.9718212],"genre_scores_gemma":[0.008575282,0.00844952,0.001567289,0.0009541126,0.0007755524,0.00008782893,0.01685762,0.00185377,0.9608791],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.420994,"threshold_uncertainty_score":0.8258818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005492604580223957,"score_gpt":0.208320256452749,"score_spread":0.202827651872525,"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."}}