{"id":"W2556381130","doi":"","title":"Simulating a physical internet enabled mobility web: the case of mass distribution in France","year":2012,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Pallet; The Internet; Routing (electronic design automation); Computer science; Scale (ratio); Set (abstract data type); Web application; Product (mathematics); World Wide Web; Transport engineering; Engineering; Computer network; Geography","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":[],"consensus_categories":[],"category_scores_codex":[0.002099277,0.0002335828,0.0003313159,0.00004792007,0.00006083323,0.00005757229,0.0005150168,0.0001839691,0.00003638713],"category_scores_gemma":[0.0003401152,0.00020842,0.0001415596,0.0002362267,0.0002034958,0.00006785815,0.0002016624,0.0007298893,0.000006037653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001139352,"about_ca_system_score_gemma":0.00004707097,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001047625,"about_ca_topic_score_gemma":0.001084413,"domain_scores_codex":[0.9978435,0.000978686,0.0004591998,0.0002926428,0.0001520918,0.0002738535],"domain_scores_gemma":[0.997274,0.0009419449,0.0001677232,0.001136151,0.0004047255,0.00007542363],"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":[0.00007969986,0.006092698,0.1605999,0.007865599,0.0008648803,0.0003889198,0.1048207,0.2739944,0.02648347,0.3361287,0.001500006,0.08118097],"study_design_scores_gemma":[0.0003326368,1.961322e-7,0.007294518,0.000693212,0.00004928752,0.000009424152,0.00007451484,0.9741092,0.01406352,0.00195934,0.001135855,0.0002782859],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7505361,0.0007811395,0.2426331,0.0001837362,0.0001830049,0.0003579773,0.0002577592,0.0001493529,0.004917815],"genre_scores_gemma":[0.9970766,0.00007103186,0.00210794,0.000004893823,0.00002673475,0.0000423023,0.0003871243,0.00002775118,0.0002556037],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7001148,"threshold_uncertainty_score":0.849912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01610264223159615,"score_gpt":0.2137657630871429,"score_spread":0.1976631208555468,"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."}}