{"id":"W4379191968","doi":"","title":"Urban and Suburban Logistics Real Estate. Welcome to Logistics City n°3.","year":2023,"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":"Real estate; City logistics; Business; Residential real estate; Transport engineering; Regional science; Geography; Engineering; Finance","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003839453,0.001103273,0.00036207,0.0006880941,0.001635534,0.003063759,0.0006853313,0.002202418,0.5744209],"category_scores_gemma":[0.0006306259,0.0004059944,0.0003023795,0.001284649,0.0004341938,0.00168601,0.003362181,0.001922269,0.3438152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001244238,"about_ca_system_score_gemma":0.001919138,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02164906,"about_ca_topic_score_gemma":0.07909232,"domain_scores_codex":[0.9997296,0.00002919122,0.00001531232,0.00005324126,0.00009609115,0.00007671707],"domain_scores_gemma":[0.9994792,0.00003713223,0.0000365502,0.00002905337,0.0001929825,0.0002249675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001903434,0.0000165489,0.0002271264,0.00007820191,6.754561e-7,0.00004569903,0.00005498993,0.00002402419,0.0001285344,0.002429782,0.9559779,0.04099744],"study_design_scores_gemma":[0.000001889039,0.000003798532,0.000549862,0.00003211285,2.164529e-7,0.000009227761,0.00005778605,0.000006043565,0.0000130956,0.00008519366,0.9992394,0.000001337682],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.000919853,0.009144611,0.0003825843,0.01406164,0.01185337,0.0001555865,0.005227489,0.0003225805,0.9579324],"genre_scores_gemma":[0.0008322884,0.001209919,0.00007263299,0.001012674,0.0002318155,0.0000404169,0.0009000972,0.00005839259,0.9956417],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.5744209,"threshold_uncertainty_score":0.6070369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03935061039404567,"score_gpt":0.223695949756359,"score_spread":0.1843453393623133,"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."}}