{"id":"W4395671444","doi":"10.24294/jipd.v8i5.3303","title":"Metaverse in ports through an affinity diagram","year":2024,"lang":"en","type":"article","venue":"Journal of Infrastructure Policy and Development","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Transport Canada","funders":"","keywords":"Diagram; Computer 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":[0.001273585,0.0005236659,0.0003678083,0.001845569,0.002291212,0.006193539,0.001194342,0.002450078,0.04334357],"category_scores_gemma":[0.003614162,0.0004806492,0.0008753472,0.001515656,0.002192229,0.008800284,0.003064367,0.001793931,0.006596211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001481384,"about_ca_system_score_gemma":0.001769592,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005152907,"about_ca_topic_score_gemma":0.003990479,"domain_scores_codex":[0.9986855,0.0005752916,0.00008243716,0.0001910469,0.0003030189,0.0001627048],"domain_scores_gemma":[0.9986252,0.0006660462,0.00008003649,0.0001985334,0.0002798081,0.0001505588],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001798285,0.00001499202,0.0002346405,0.00004664058,0.000004804093,0.0001827575,0.0008166144,0.001083218,0.0003497496,0.9848759,0.002884202,0.009488435],"study_design_scores_gemma":[0.00003411067,0.00003043606,0.0002745886,0.00009564048,0.00002028301,0.0005498971,0.001180962,0.01430373,0.001283927,0.5247949,0.4574037,0.00002781105],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01075813,0.0003493111,0.6723338,0.00150435,0.0003813173,0.0002265592,0.0005900772,0.001970974,0.3118855],"genre_scores_gemma":[0.379983,0.001000029,0.4999083,0.000524598,0.0001467855,0.0007409463,0.001310173,0.001122562,0.1152637],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04334357,"threshold_uncertainty_score":0.1449987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02111705657952917,"score_gpt":0.3136463297280294,"score_spread":0.2925292731485002,"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."}}