{"id":"W7113503026","doi":"","title":"Charting New Waters: Adoption of AI across Dutch and Danish Ports","year":2025,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Maritime Ports and Logistics","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Value (mathematics); Port (circuit theory); Stakeholder; Narrative; Key (lock); Organizational culture; Danish; Line management","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":[0.006030844,0.0002014168,0.0002777056,0.002440569,0.002659474,0.00833311,0.0007281511,0.000895466,0.001909605],"category_scores_gemma":[0.0167792,0.0003432892,0.0003157887,0.005113137,0.003202249,0.007010096,0.00410792,0.0009887607,0.0001838053],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01063095,"about_ca_system_score_gemma":0.007886301,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.08908685,"about_ca_topic_score_gemma":0.1122524,"domain_scores_codex":[0.9948102,0.002183528,0.0007396097,0.0005909327,0.001310179,0.0003654838],"domain_scores_gemma":[0.9877995,0.00793298,0.001926816,0.0004205167,0.001418615,0.0005015715],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001898253,0.00009498622,0.07996392,0.001829412,0.00008221626,0.003219556,0.7576257,0.001601278,0.002779247,0.0582978,0.001978733,0.09233735],"study_design_scores_gemma":[0.000009550306,0.00006781,0.06776497,0.0007932893,0.00005921582,0.0004153201,0.8257796,0.001327407,0.001328573,0.003786332,0.0985918,0.00007608249],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9545704,0.001755704,0.002998018,0.001365021,0.00003825306,0.00007011573,0.0002755332,0.00001281175,0.03891427],"genre_scores_gemma":[0.9941485,0.001413564,0.001562179,0.0001143964,0.000002822598,0.00003792413,0.0001659929,0.0000169161,0.002537668],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08908685,"threshold_uncertainty_score":0.1771366,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004271105267703315,"score_gpt":0.2065124560790516,"score_spread":0.2022413508113483,"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."}}