{"id":"W3018786811","doi":"10.22059/jitm.2020.75791","title":"Revolution of Artificial Intelligence and the Internet of Objects in the Customer Journey and the Air Sector","year":2020,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Impact of AI and Big Data on Business and Society","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"The Internet; Computer science; Aviation; Artificial intelligence; Ambient intelligence; Industrial Revolution; Radio-frequency identification; Engineering; Data science; Computer security; World Wide Web; Political 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":[0.002005872,0.0002662287,0.0002790795,0.001711083,0.00159815,0.007397701,0.000443401,0.001788761,0.002849998],"category_scores_gemma":[0.002852827,0.0001678188,0.0002460334,0.003609534,0.00775851,0.009119611,0.002250986,0.002241362,0.000640562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002676625,"about_ca_system_score_gemma":0.001982262,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002126936,"about_ca_topic_score_gemma":0.00193896,"domain_scores_codex":[0.9982014,0.0008186197,0.00006779722,0.000134708,0.0006084968,0.0001688873],"domain_scores_gemma":[0.9979067,0.001126416,0.0002990859,0.0001658993,0.0002544547,0.0002474643],"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":[0.0000356516,0.00003782602,0.00105261,0.0001358364,0.000007762354,0.0002823082,0.001301363,0.0004602911,0.0001792358,0.9224344,0.01608897,0.05798369],"study_design_scores_gemma":[0.000009940703,0.00003140154,0.003860828,0.0005420551,0.00001028926,0.0006148613,0.004557143,0.00147674,0.0003575972,0.4776495,0.5108609,0.00002877585],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05622667,0.159806,0.01814726,0.2242084,0.003397365,0.00005899206,0.0002617943,0.0001356063,0.5377579],"genre_scores_gemma":[0.7942318,0.1282303,0.01763195,0.01414427,0.003871153,0.00008700496,0.0001600472,0.00006555346,0.04157784],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.007397701,"threshold_uncertainty_score":0.01942033,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5032760651323832,"score_gpt":0.558632727356882,"score_spread":0.05535666222449875,"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."}}