{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001463889,0.0001494933,0.0001686097,0.002989216,0.005436474,0.003521594,0.0007029286,0.0007433451,0.01226743],"category_scores_gemma":[0.003970759,0.0001501095,0.0001794975,0.003474056,0.00148714,0.001225791,0.001110308,0.0006459213,0.000857425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008354384,"about_ca_system_score_gemma":0.004225935,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.2043848,"about_ca_topic_score_gemma":0.2725523,"domain_scores_codex":[0.9978579,0.0006936963,0.00005044893,0.0002036927,0.0002825833,0.0009116987],"domain_scores_gemma":[0.9921088,0.002561513,0.001413607,0.0002890183,0.001579649,0.002047437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000358258,0.000469045,0.8030295,0.00006897886,0.00007939099,0.001931264,0.05593441,0.002285033,0.001192055,0.05349715,0.01270106,0.06845385],"study_design_scores_gemma":[0.00001160755,0.0001191235,0.8756934,0.00006829519,0.00002879167,0.0002756912,0.08598898,0.00164798,0.0002054331,0.001850927,0.03408245,0.00002730856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9785084,0.0003948981,0.000259329,0.0005420352,0.000009914291,0.00001679172,0.00008671881,0.000006686737,0.0201752],"genre_scores_gemma":[0.9925244,0.0001181154,0.00007426124,0.00004704925,0.000009341609,0.00001035322,0.00006191329,0.000004763598,0.007149675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2043848,"threshold_uncertainty_score":0.4063904,"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."}}