{"id":"W4241465860","doi":"10.1504/ijbbm.2018.092803","title":"City logistics: a review and bibliometric analysis","year":2018,"lang":"en","type":"review","venue":"International Journal of Bibliometrics in Business and Management","topic":"Urban and Freight Transport Logistics","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Citation; Field (mathematics); Social network analysis; Data science; Citation analysis; City logistics; Bibliometrics; Computer science; Library science; Engineering; World Wide Web; Social media; Transport engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","bibliometrics"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.001016277,0.0003270848,0.001541967,0.5763725,0.00001961627,0.0002181662,0.0006059018,0.0001476675,0.00006194814],"category_scores_gemma":[0.0001974895,0.0002634093,0.0002485834,0.5269472,0.00009979752,0.0001935799,0.0001501894,0.0002803462,0.000003205873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001450134,"about_ca_system_score_gemma":0.00002572467,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001185247,"about_ca_topic_score_gemma":0.000008774932,"domain_scores_codex":[0.9975457,0.00002928126,0.00127396,0.0002328045,0.0007146019,0.0002036222],"domain_scores_gemma":[0.9982669,0.0001844122,0.0004781926,0.0001870334,0.0007702797,0.0001132306],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003608182,0.00008939367,0.0006005805,0.04032756,0.00481823,0.0005312883,0.000004147001,0.0000814049,6.128105e-9,0.0006794856,0.005434844,0.9474295],"study_design_scores_gemma":[0.0002359429,0.00002160867,0.008013529,0.008440915,0.007477338,0.00008536757,0.000001761174,0.00009945668,2.166736e-8,0.0001144968,0.9752272,0.0002823078],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000003709838,0.9557279,0.04180888,0.00003271679,0.000893078,0.0002183194,0.00007259071,0.00001639513,0.001226429],"genre_scores_gemma":[0.0002443538,0.9976653,0.001713413,0.00006211314,0.0001873,0.000009934221,0.00004073159,0.0000280097,0.0000488504],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9697924,"threshold_uncertainty_score":0.9999818,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09743947623305906,"score_gpt":0.3360887360137579,"score_spread":0.2386492597806988,"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."}}