{"id":"W2526366860","doi":"10.21700/ijcis.2016.112","title":"The Impact of Mobile Device Preference on the Quality of Experience","year":2016,"lang":"en","type":"article","venue":"International Journal of Computing and Information Sciences","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Preference; Quality (philosophy); Psychology; Computer science; Business; Economics; Microeconomics; Physics","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":[0.001792414,0.0002277437,0.0003136281,0.0007522894,0.0003623069,0.002316533,0.0002872243,0.0008138732,0.007581193],"category_scores_gemma":[0.02970828,0.0001688503,0.0006935903,0.0009019683,0.0003745649,0.001000948,0.0005299539,0.0007817924,0.0005797194],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003974582,"about_ca_system_score_gemma":0.0004556092,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002462089,"about_ca_topic_score_gemma":0.002749786,"domain_scores_codex":[0.9981833,0.0007633796,0.0001691476,0.0001659795,0.0004438513,0.0002743142],"domain_scores_gemma":[0.9375305,0.05061317,0.004719879,0.001291435,0.002958353,0.002886647],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00403254,0.0009913569,0.9541556,0.0002169444,0.0004033867,0.000443575,0.001329174,0.00125746,0.00688319,0.0004200413,0.0003077371,0.02955889],"study_design_scores_gemma":[0.00004284198,0.001648236,0.9922426,0.00002332553,0.0002261621,0.0003349446,0.001389524,0.002586446,0.0008522498,0.0002479429,0.0003701055,0.00003570305],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971692,0.0001527747,0.0002415884,0.00007438,0.000007693604,0.00001104758,0.0001012142,0.000006156914,0.002235809],"genre_scores_gemma":[0.9995709,0.00003324324,0.0001017138,0.00001180631,0.000005269836,0.000003155767,0.00003743389,0.000003553536,0.0002329628],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007581193,"threshold_uncertainty_score":0.02536166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2198131207754281,"score_gpt":0.495958828485933,"score_spread":0.276145707710505,"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."}}