{"id":"W2055537974","doi":"10.5539/emr.v1n1p44","title":"Enhancing Mobile Satisfaction through Integration of Usability and Flow","year":2012,"lang":"en","type":"article","venue":"Engineering Management Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Usability; Mobile phone; Computer science; Human–computer interaction; Adventure; Structural equation modeling; Mobile technology; Multimedia; Mobile device; World Wide Web; Telecommunications; Artificial intelligence","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":[0.002252103,0.0003866818,0.0003583757,0.0009215175,0.0004021374,0.001898164,0.0002692437,0.0003625339,0.002383441],"category_scores_gemma":[0.009198681,0.000168614,0.0005444068,0.0005556777,0.0005306155,0.001362086,0.0008645065,0.0004515957,0.0002063625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004735875,"about_ca_system_score_gemma":0.0008701808,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001230518,"about_ca_topic_score_gemma":0.001398548,"domain_scores_codex":[0.9976357,0.001549199,0.0001106981,0.0001102823,0.0003931632,0.0002009023],"domain_scores_gemma":[0.9923096,0.004753934,0.001139223,0.0003429132,0.0009595543,0.0004946967],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0008621879,0.002830655,0.461415,0.0007660578,0.0003314221,0.000282251,0.00719748,0.005609478,0.01841069,0.01490552,0.001097545,0.4862917],"study_design_scores_gemma":[0.0001899179,0.006623706,0.8923025,0.0003311741,0.0006255919,0.0005819186,0.01033912,0.05176224,0.01118763,0.01553606,0.01034214,0.0001780809],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9625372,0.0002654289,0.02284591,0.0004723463,0.00001794493,0.0001219075,0.00004624134,0.000098448,0.01359465],"genre_scores_gemma":[0.9959047,0.00009304566,0.003378693,0.00003975035,0.000009708135,0.0000249435,0.00002546661,0.000007297163,0.0005163227],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002383441,"threshold_uncertainty_score":0.01191038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1452556589478298,"score_gpt":0.4387971194784965,"score_spread":0.2935414605306667,"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."}}