{"id":"W2019509225","doi":"10.5539/ibr.v7n1p74","title":"Investigating the Factors Influencing the Usage of Smart Entry Service: Incheon International Airport Case Study","year":2013,"lang":"en","type":"article","venue":"International Business Research","topic":"Aviation Industry Analysis and Trends","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Structural equation modeling; Technology acceptance model; Psychology; International airport; Affect (linguistics); Service (business); Variables; External variable; Applied psychology; Airport security; Marketing; Business; Social psychology; Computer science; Statistics; Mathematics; Engineering; Transport engineering; Computer security","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001672075,0.0001254062,0.0001913446,0.0004110604,0.0003566748,0.0003147796,0.0009525047,0.00007343666,0.002365526],"category_scores_gemma":[0.0008144364,0.00008606225,0.00007119127,0.001140227,0.0001575782,0.0005406632,0.0004130143,0.0004800912,0.0002012355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001489589,"about_ca_system_score_gemma":0.00006644429,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02496855,"about_ca_topic_score_gemma":0.0007152752,"domain_scores_codex":[0.9982498,0.00009266821,0.0007399229,0.0003058436,0.0003902347,0.0002215614],"domain_scores_gemma":[0.9974946,0.0003951447,0.000412447,0.0003842974,0.001257567,0.00005598237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000002845547,0.0001364345,0.9928929,0.000006797028,0.0002121888,0.00001836611,0.002520426,0.0004201085,0.0000301845,0.002720634,0.0005806815,0.0004584723],"study_design_scores_gemma":[0.0002942679,0.00001717123,0.9784105,0.00002000585,0.000006509285,0.00003768259,0.01149288,0.003542168,0.00006144009,0.002853966,0.003157895,0.0001055292],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9820114,0.00004865232,0.00008312595,0.007821321,0.000425644,0.0002652406,0.00004437298,0.00001201807,0.009288276],"genre_scores_gemma":[0.9982272,0.00001303655,0.00002618925,0.000154268,0.0001959346,0.00009529002,0.0000319871,0.00001377643,0.001242354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02425327,"threshold_uncertainty_score":0.9985464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.140309868064135,"score_gpt":0.3490419455048036,"score_spread":0.2087320774406686,"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."}}