{"id":"W4366421971","doi":"10.3390/admsci13040114","title":"Conceptual Model for Assessing Logistics Maturity in Smart City Dimensions","year":2023,"lang":"en","type":"article","venue":"Administrative Sciences","topic":"Smart Cities and Technologies","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Maturity (psychological); Smart city; Capability Maturity Model; Delphi method; Business; Conceptual model; Conceptual framework; Knowledge management; Process management; Marketing; Computer science; Sociology; Internet of Things; Political 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":[0.01031278,0.0009701221,0.000493362,0.006543907,0.001824829,0.00427636,0.001689262,0.001513112,0.003928955],"category_scores_gemma":[0.01347395,0.0003464022,0.001427439,0.00488958,0.003524234,0.006664523,0.003542552,0.001972869,0.0004450945],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006546208,"about_ca_system_score_gemma":0.009282087,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004470865,"about_ca_topic_score_gemma":0.00512589,"domain_scores_codex":[0.9925032,0.004204491,0.0006835504,0.0005093883,0.001672833,0.0004266177],"domain_scores_gemma":[0.9894279,0.004671626,0.001230449,0.0004818819,0.003408826,0.0007793533],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001690552,0.0008450486,0.1357086,0.001447973,0.0001760238,0.0007530561,0.09089164,0.009982497,0.003195846,0.6208766,0.007514484,0.1284393],"study_design_scores_gemma":[0.0002402366,0.001198003,0.1152912,0.004495343,0.0005505465,0.001834219,0.3537595,0.08887304,0.00355116,0.2978701,0.131946,0.0003906115],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5758252,0.001112369,0.2824884,0.01245578,0.0002297795,0.009232755,0.00213768,0.000221898,0.1162963],"genre_scores_gemma":[0.8609609,0.0004392772,0.1301791,0.0004346174,0.00001863409,0.00453243,0.001293553,0.00001529786,0.002126146],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031278,"threshold_uncertainty_score":0.05453986,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.188763179427626,"score_gpt":0.3636906823817714,"score_spread":0.1749275029541454,"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."}}