{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001475378,0.000380972,0.0002717688,0.001282183,0.001436365,0.001298384,0.0004929427,0.0008794973,0.002590488],"category_scores_gemma":[0.003535979,0.0002380891,0.0004796542,0.00155946,0.0006725502,0.001341269,0.000692383,0.0007781379,0.0003426188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001219457,"about_ca_system_score_gemma":0.001245925,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01905622,"about_ca_topic_score_gemma":0.02936353,"domain_scores_codex":[0.999151,0.0002989041,0.00005634348,0.00007457582,0.0001959304,0.0002232457],"domain_scores_gemma":[0.9967514,0.00165077,0.0005942291,0.0001824408,0.0004925482,0.0003286274],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002819979,0.003203193,0.8793783,0.0002556464,0.00008039393,0.01661632,0.05338459,0.002948945,0.005767564,0.003125106,0.001166956,0.03379101],"study_design_scores_gemma":[0.00004020808,0.002891926,0.689122,0.0001498572,0.0001793959,0.005335369,0.2654791,0.01941753,0.006065033,0.0005670137,0.01061844,0.0001341388],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986627,0.00001963829,0.0001775969,0.00004875943,0.000001343586,0.00002307739,0.00001733691,0.000002533789,0.001046991],"genre_scores_gemma":[0.9981853,0.0001241394,0.0006755437,0.00002267013,0.000003287334,0.00002640401,0.00004552685,0.000002586412,0.0009144042],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01905622,"threshold_uncertainty_score":0.03789061,"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."}}