{"id":"W330839146","doi":"10.3917/eg.413.0193","title":"Developing Territories of Metropolitan Logistics","year":2012,"lang":"fr","type":"article","venue":"L’Espace géographique","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":0,"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003283008,0.0004531613,0.0005751037,0.0003757668,0.00008479484,0.00003001759,0.0002886213,0.0004962497,0.00008923899],"category_scores_gemma":[0.0001158092,0.000499884,0.0002598056,0.0009906857,0.00118359,0.0002721415,0.000042442,0.0004952049,0.00002977084],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004215971,"about_ca_system_score_gemma":0.00007177548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001926692,"about_ca_topic_score_gemma":0.001279232,"domain_scores_codex":[0.9977785,0.00007928371,0.0005908114,0.0002286872,0.0002811528,0.00104152],"domain_scores_gemma":[0.9986845,0.000225306,0.0001347062,0.0004665212,0.0001531869,0.0003358081],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001271228,0.0001044944,0.1481188,0.0008795907,0.0002547841,0.00001211914,0.0007987517,0.0002812091,0.0003015132,0.8442595,0.004452817,0.0005236844],"study_design_scores_gemma":[0.0008184626,0.0002668329,0.0926596,0.0009856191,0.0008477033,0.00007316119,0.002777277,0.0005483493,0.02372918,0.025971,0.8492393,0.002083434],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008878758,0.08079987,0.8691108,0.001713732,0.01312057,0.0003900375,0.0003935702,0.0003883298,0.02520439],"genre_scores_gemma":[0.8915085,0.005834924,0.09978592,0.00007578,0.001384437,0.00001381529,0.00005087302,0.00009949248,0.001246291],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8826297,"threshold_uncertainty_score":0.9997452,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04145852910447198,"score_gpt":0.2509967636404505,"score_spread":0.2095382345359786,"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."}}