{"id":"W2943864278","doi":"","title":"Des transports de plus en plus efficaces","year":2010,"lang":"fr","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":false,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Chemistry","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","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004468597,0.0007313411,0.0007615138,0.000205095,0.0004489365,0.0003279402,0.001647592,0.001131767,0.0009634248],"category_scores_gemma":[0.000554615,0.000851013,0.0004392931,0.0003968775,0.000940749,0.0001666898,0.0002462117,0.002241322,0.0001592651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006909685,"about_ca_system_score_gemma":0.0006391503,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005022925,"about_ca_topic_score_gemma":0.02033635,"domain_scores_codex":[0.9947095,0.002088689,0.0009029249,0.0009021573,0.000472356,0.0009243978],"domain_scores_gemma":[0.9942719,0.001635616,0.0002800204,0.002205849,0.001054326,0.0005522294],"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":[0.00009649846,0.001243266,0.01438715,0.003120198,0.0007355314,0.0002855639,0.1134881,0.05678253,0.01544566,0.7079268,0.00158737,0.08490137],"study_design_scores_gemma":[0.003638221,0.000002198743,0.1449325,0.008572032,0.001062521,0.0001830006,0.0005699188,0.431202,0.1160657,0.02161234,0.2683965,0.003763012],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2139381,0.004648935,0.7117431,0.002499048,0.0009714059,0.0005581887,0.0002594202,0.0006722774,0.06470963],"genre_scores_gemma":[0.7832312,0.003720588,0.1963622,0.00003742394,0.0001089166,0.00006955483,0.0007594333,0.0001483295,0.01556233],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6863144,"threshold_uncertainty_score":0.9999498,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01691678622631001,"score_gpt":0.2041805447749534,"score_spread":0.1872637585486434,"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."}}