{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00254788,0.0006639612,0.0002554383,0.001334775,0.001361535,0.007218951,0.001160226,0.003208058,0.01901963],"category_scores_gemma":[0.003504383,0.0002305129,0.0005576182,0.001940775,0.002983989,0.01369612,0.004499561,0.002012295,0.002588091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002377552,"about_ca_system_score_gemma":0.001980635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001753781,"about_ca_topic_score_gemma":0.00293485,"domain_scores_codex":[0.9984309,0.0006786163,0.00004968536,0.0001342495,0.0005192459,0.0001872293],"domain_scores_gemma":[0.9979967,0.0008730016,0.000163711,0.0003154866,0.0003085736,0.0003423658],"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":[0.00006984929,0.00008580122,0.001437962,0.0002713584,0.00001616156,0.0003613231,0.001068052,0.002376525,0.001396289,0.8884676,0.01079063,0.09365846],"study_design_scores_gemma":[0.00002502336,0.0002124602,0.001882924,0.0008599994,0.0000262858,0.0006405785,0.003671375,0.008211589,0.00204521,0.3722743,0.6100966,0.00005372511],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0848116,0.02319766,0.1464694,0.06213998,0.002731225,0.0003270035,0.0003054806,0.00084052,0.6791771],"genre_scores_gemma":[0.8249168,0.02613523,0.0758163,0.004917181,0.001265845,0.0002198775,0.000363759,0.000200053,0.06616497],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01901963,"threshold_uncertainty_score":0.063627,"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."}}