{"id":"W2119213263","doi":"","title":"How is own account transport well adapted to urban environments?","year":2010,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ministère des Transports","funders":"","keywords":"Computer science","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":[0.001684886,0.0002635575,0.0004876583,0.0008619908,0.001826715,0.00691812,0.001206861,0.002099598,0.0156544],"category_scores_gemma":[0.01089401,0.000200487,0.000566418,0.001769358,0.002387731,0.008890607,0.002702767,0.001495876,0.002267112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002980788,"about_ca_system_score_gemma":0.002647103,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02695948,"about_ca_topic_score_gemma":0.03002984,"domain_scores_codex":[0.9980951,0.0007210523,0.0000619795,0.0002293969,0.0003105135,0.0005819413],"domain_scores_gemma":[0.9950646,0.0008037976,0.000729471,0.0007930716,0.001457988,0.001151159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008032381,0.0006046572,0.3887931,0.0004821157,0.0003515525,0.002352708,0.03345696,0.01023376,0.002838723,0.1431994,0.0599589,0.356925],"study_design_scores_gemma":[0.00004408723,0.0004415304,0.3551764,0.0007076377,0.0002724045,0.001987194,0.1675585,0.01090557,0.002214591,0.1378994,0.3225518,0.0002408894],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6729472,0.001113404,0.008810658,0.04178556,0.0009366189,0.0001055884,0.0004710379,0.0002575867,0.2735724],"genre_scores_gemma":[0.9845787,0.0004906062,0.000657663,0.0009888351,0.00008189616,0.00002206361,0.0001691559,0.00008121166,0.01292982],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02695948,"threshold_uncertainty_score":0.05360514,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009907228856095357,"score_gpt":0.1703140027545554,"score_spread":0.1604067738984601,"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."}}