{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009712419,0.0001780883,0.0007371426,0.0002099213,0.0001860904,0.0008328764,0.003004671,0.0000761154,0.0008520011],"category_scores_gemma":[0.00374174,0.00007357199,0.0001808792,0.001567058,0.00117108,0.001278974,0.0008539188,0.0003958482,0.000003597229],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001380496,"about_ca_system_score_gemma":0.0001031946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00125282,"about_ca_topic_score_gemma":0.00009977871,"domain_scores_codex":[0.9960227,0.001016056,0.001261031,0.0002837815,0.001214372,0.0002020827],"domain_scores_gemma":[0.9952931,0.002649011,0.001159861,0.0003985774,0.0004055606,0.00009387812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.01218327,0.0008438206,0.4105128,0.0003824207,0.0006010651,0.00003641809,0.1047622,0.0008937659,0.01756307,0.03079385,0.1492914,0.2721359],"study_design_scores_gemma":[0.002122997,0.00005933428,0.876012,0.0005329913,0.0001641506,0.00004113761,0.01805313,0.007576627,0.009465864,0.08007905,0.005473086,0.0004196168],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9781961,0.01144851,0.002108269,0.006264055,0.000287342,0.0005723412,0.0000449433,0.000004366052,0.001074054],"genre_scores_gemma":[0.9918135,0.00682659,0.0000449187,0.001163466,0.0001089575,0.000007123034,0.000001528442,0.000007964534,0.0000259689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4654993,"threshold_uncertainty_score":0.9328815,"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."}}