{"id":"W3190989037","doi":"10.69554/tsot1203","title":"An airport approach to digital transformation","year":2021,"lang":"en","type":"article","venue":"Journal of airport management","topic":"Economic and Technological Developments in Russia","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transformation (genetics); Digital transformation; Computer science; Transport engineering; Engineering; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006532801,0.00007353545,0.0001563535,0.000120784,0.0001558737,0.0001529733,0.0003126598,0.00005783859,0.0001160934],"category_scores_gemma":[0.0000234929,0.00006449489,0.00007772107,0.0002244383,0.00004627018,0.0006667254,0.00003771823,0.0001064188,0.00003278453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001343324,"about_ca_system_score_gemma":0.00009241144,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003495137,"about_ca_topic_score_gemma":0.000005851104,"domain_scores_codex":[0.9989089,0.00002080079,0.0004285207,0.0001237918,0.0003343522,0.0001836346],"domain_scores_gemma":[0.9994457,0.000006720175,0.0001787391,0.0001201571,0.00009295051,0.0001556997],"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":[0.00003500712,0.0009198876,0.008762658,0.00004176421,0.0002506302,0.0003068716,0.006305301,0.000435216,0.0000134867,0.6026714,0.0121298,0.3681279],"study_design_scores_gemma":[0.0004344302,0.0001186612,0.03521758,0.0000386066,0.00003989663,0.00003395951,0.01961271,0.00003317457,0.0001265255,0.01890083,0.9252038,0.0002397956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1324274,0.00002604398,0.0342179,0.002932146,0.0003610428,0.000187257,0.000001743101,0.00004706617,0.8297994],"genre_scores_gemma":[0.9803755,0.0001211369,0.01594851,0.0003334497,0.00009290013,0.000004490795,0.000005490324,0.000005283832,0.003113193],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.913074,"threshold_uncertainty_score":0.2630025,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02146205826136101,"score_gpt":0.2831519202917868,"score_spread":0.2616898620304258,"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."}}