{"id":"W4385446550","doi":"10.3390/su151511846","title":"5G and Companion Technologies as a Boost in New Business Models for Logistics and Supply Chain","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"European Commission","keywords":"Supply chain; Port (circuit theory); Business; Process management; Stakeholder; Process (computing); Sustainability; Emerging technologies; Supply chain management; Computer science; Marketing; 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":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002774912,0.0001287127,0.0001986259,0.0001197188,0.00004811551,0.00004033423,0.0000711653,0.0001201928,0.000003350402],"category_scores_gemma":[0.0010638,0.0001260558,0.00001431534,0.0002965007,0.0001519497,0.00007415748,0.00008084552,0.0001087798,4.822838e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001284411,"about_ca_system_score_gemma":0.00009965835,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006094706,"about_ca_topic_score_gemma":0.0002051149,"domain_scores_codex":[0.9992391,0.000009702826,0.0001828362,0.0002076502,0.00006189707,0.0002987394],"domain_scores_gemma":[0.9994578,0.0001509009,0.00001628578,0.0001907947,0.0001400772,0.00004416971],"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":[0.0001323401,0.0001248852,0.1004836,0.007456752,0.00003899799,0.0001510502,0.001898184,0.3233282,0.00005428446,0.3400798,0.009348111,0.2169038],"study_design_scores_gemma":[0.0004691356,0.00003797339,0.04818484,0.00002053368,0.00001018363,0.000005299748,0.001686782,0.3653694,0.0000351974,0.5797129,0.004252071,0.0002156688],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7626153,0.002135584,0.2166552,0.00992873,0.0003528116,0.00322603,0.0001684151,0.003115319,0.001802607],"genre_scores_gemma":[0.9988147,0.0002084821,0.0005543858,0.0000105482,0.00001991121,0.00003748311,0.00002506503,0.00001658526,0.0003128615],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2396331,"threshold_uncertainty_score":0.5140409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01606759559609882,"score_gpt":0.2447849186182373,"score_spread":0.2287173230221385,"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."}}