{"id":"W2591552950","doi":"","title":"Freight Handling. In : Encyclopedia of Transportation","year":2014,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Haulage; Encyclopedia; Work (physics); Section (typography); Focus (optics); Transport engineering; Regional science; Computer science; Business; Operations research; Engineering; Geography; Library science; Advertising","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001450981,0.0002720613,0.0004194945,0.0002130288,0.00004197295,0.00004010249,0.0005683833,0.0003265702,0.00009837031],"category_scores_gemma":[0.0001329663,0.0003076595,0.0001457368,0.0002305565,0.0001261989,0.00005631129,0.00004283626,0.0005632929,0.00001063013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005954884,"about_ca_system_score_gemma":0.00007746695,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004940113,"about_ca_topic_score_gemma":0.004702837,"domain_scores_codex":[0.9979489,0.0005350687,0.0006659292,0.0003593512,0.000246963,0.0002437411],"domain_scores_gemma":[0.9978465,0.0004376706,0.0001798718,0.0009559912,0.0004850549,0.00009490649],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00009496533,0.002873268,0.1681927,0.01117382,0.0007864577,0.0001054258,0.0971043,0.1266547,0.008471686,0.4279651,0.008095186,0.1484824],"study_design_scores_gemma":[0.003621714,0.000001908794,0.2289481,0.01104389,0.000431284,0.000005730706,0.0001865996,0.4967528,0.1026369,0.02604925,0.1271811,0.003140755],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2416769,0.002420044,0.5860544,0.0004070285,0.0005732453,0.0004701112,0.0002928165,0.0004040193,0.1677014],"genre_scores_gemma":[0.9774472,0.001972046,0.01847278,0.00001079179,0.00002258613,0.00003275812,0.001006452,0.00005176341,0.0009835822],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7357703,"threshold_uncertainty_score":0.9999375,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164239534473271,"score_gpt":0.1891198437459954,"score_spread":0.1774774484012627,"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."}}