{"id":"W307201863","doi":"","title":"Freight flows, logistics costs and efficiency : optimal path analysis - background paper","year":2012,"lang":"en","type":"article","venue":"","topic":"Global trade and economics","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Truck; European union; Gravity model of trade; Business; Consumption (sociology); Quarter (Canadian coin); International trade; Agricultural economics; International economics; Economics; Geography","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002188748,0.002187304,0.001954773,0.003499888,0.000818424,0.003459168,0.001281334,0.002053268,0.01957054],"category_scores_gemma":[0.007374812,0.001596161,0.002356698,0.006338892,0.001795054,0.003296686,0.001558843,0.002433019,0.001132325],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004279645,"about_ca_system_score_gemma":0.003179576,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02661619,"about_ca_topic_score_gemma":0.0133614,"domain_scores_codex":[0.9991564,0.0003960651,0.00002461644,0.0001512993,0.00008762322,0.0001839792],"domain_scores_gemma":[0.9957806,0.003199442,0.0004325203,0.00009841285,0.0003610488,0.0001278662],"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":[0.00007724745,0.0001332045,0.002334443,0.0002091549,0.00011448,0.00008716389,0.00006933642,0.922993,0.0001144538,0.05218208,0.004243397,0.01744204],"study_design_scores_gemma":[0.00004093066,0.0001033353,0.002575221,0.0002230719,0.0001098602,0.00008414541,0.0001980625,0.8460336,0.0001591902,0.1459114,0.004509984,0.00005126287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2514249,0.02703575,0.6361018,0.004598001,0.0003217387,0.0007256654,0.003608451,0.0003658337,0.07581776],"genre_scores_gemma":[0.8725515,0.02248426,0.0740985,0.0003261642,0.0004148967,0.0005912365,0.001906313,0.0002955562,0.02733159],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02661619,"threshold_uncertainty_score":0.06546992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05972323767757167,"score_gpt":0.2219578845527879,"score_spread":0.1622346468752162,"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."}}