{"id":"W1528709554","doi":"","title":"Organization and subcontracting relationships in French road haulage","year":2010,"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; Transport engineering; Business; Computer science; 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":[0.00208205,0.0002415087,0.000255618,0.0001921633,0.00016671,0.0002015008,0.0003636373,0.0004736104,0.00007988208],"category_scores_gemma":[0.001263046,0.0002865088,0.00004099342,0.0003232023,0.0001060666,0.0001183844,0.0001589274,0.0015056,0.00001365298],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007258958,"about_ca_system_score_gemma":0.00007071318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005698983,"about_ca_topic_score_gemma":0.006902116,"domain_scores_codex":[0.9980735,0.0007153035,0.0004363422,0.0003742114,0.0001713055,0.0002293139],"domain_scores_gemma":[0.9977821,0.0006159791,0.000133767,0.0008135163,0.0005484479,0.0001062328],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000009748748,0.0009947473,0.6367487,0.001784785,0.0002726919,0.00009974134,0.06172134,0.01264679,0.0244581,0.1914386,0.001553958,0.06827082],"study_design_scores_gemma":[0.001179876,3.051586e-7,0.6625612,0.00195535,0.0001304909,0.00003248384,0.0001520714,0.2932294,0.02493124,0.0084284,0.005933862,0.001465332],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7482843,0.001294684,0.2123424,0.001029815,0.0004484918,0.0003898483,0.00005781533,0.0005528029,0.0355998],"genre_scores_gemma":[0.979946,0.0005336617,0.01804715,0.00001161873,0.00002550449,0.00001464847,0.0006119906,0.00005710798,0.0007523523],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2805826,"threshold_uncertainty_score":0.9999587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01791348665965859,"score_gpt":0.1896841067551506,"score_spread":0.171770620095492,"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."}}