{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006939367,0.0003747026,0.0001414975,0.001430049,0.003391868,0.009420956,0.0007153644,0.002070685,0.01097205],"category_scores_gemma":[0.000768398,0.0001317693,0.0003559215,0.001389629,0.006806655,0.003973859,0.003811377,0.002274737,0.001119928],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006434736,"about_ca_system_score_gemma":0.004596238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009396118,"about_ca_topic_score_gemma":0.01123455,"domain_scores_codex":[0.9989606,0.0005261624,0.00002760585,0.00009307428,0.0001394391,0.0002530523],"domain_scores_gemma":[0.9996765,0.00006554292,0.00003368469,0.00003506995,0.00005619839,0.0001330128],"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":[0.000004837572,0.00001496568,0.0002223082,0.00002593932,0.000001923042,0.0001590269,0.001367105,0.0003591623,0.00009780812,0.9819629,0.004920025,0.010864],"study_design_scores_gemma":[0.00000880049,0.00005844641,0.001426037,0.0002742015,0.000008745464,0.0005230164,0.01073546,0.001848966,0.0004044332,0.2415836,0.7431073,0.00002098202],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01893261,0.0075947,0.02013856,0.0185366,0.0007725405,0.00007024123,0.00006530279,0.0001019426,0.9337875],"genre_scores_gemma":[0.8749707,0.008746506,0.007433495,0.002149891,0.0004978742,0.00006640858,0.00005796758,0.00004667377,0.1060305],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01097205,"threshold_uncertainty_score":0.04668754,"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."}}