{"id":"W4297930773","doi":"","title":"Transport and Logistics Demand: New Input from Large Surveys of Shipper in France","year":2010,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Business; Transport engineering; Operations research; Industrial organization; Operations management; Engineering","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":[0.003511834,0.0002612849,0.0004426893,0.0001177755,0.00004961884,0.00006250398,0.0005079414,0.0004354132,0.0002630389],"category_scores_gemma":[0.0005007386,0.0002900095,0.00007851233,0.0001378788,0.0001455117,0.00004841784,0.000266883,0.0008890848,0.000003900634],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002408301,"about_ca_system_score_gemma":0.0001098002,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006105979,"about_ca_topic_score_gemma":0.01445409,"domain_scores_codex":[0.9977134,0.0008758059,0.0005453945,0.0003908094,0.0002111566,0.0002634611],"domain_scores_gemma":[0.9975696,0.0007072575,0.0001655603,0.001065108,0.000349116,0.000143404],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001374673,0.0009972365,0.816897,0.001768024,0.0002696214,0.00005758791,0.0200522,0.01068461,0.00266895,0.04732247,0.001536408,0.09773209],"study_design_scores_gemma":[0.001391585,5.402841e-7,0.7885247,0.00231549,0.0001074157,0.000004180666,0.00005528579,0.1561184,0.01026505,0.01664103,0.02348917,0.001087176],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2160692,0.002351818,0.7657189,0.0005254198,0.0003492586,0.0002764501,0.0005480719,0.0001520447,0.01400886],"genre_scores_gemma":[0.9743962,0.001233772,0.02235479,0.000019793,0.00002717199,0.00001065208,0.0007093879,0.0000418451,0.001206335],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7583271,"threshold_uncertainty_score":0.9999552,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154986095567411,"score_gpt":0.2079317128179289,"score_spread":0.1963818518622548,"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."}}