{"id":"W2796245620","doi":"10.1109/saner.2018.8330235","title":"A study of the relation of mobile device attributes with the user-perceived quality of Android apps (journal-first abstract)","year":2018,"lang":"en","type":"article","venue":"","topic":"Green IT and Sustainability","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Android (operating system); Computer science; Mobile apps; Mobile device; Quality (philosophy); Perceived quality; Empirical research; World Wide Web; Internet privacy; Advertising; Operating system; Business","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":[0.0007827302,0.00008998698,0.0002136158,0.00002651658,0.00009074261,0.000008608513,0.0002158518,0.00004213216,0.00006211109],"category_scores_gemma":[0.00007845795,0.00004401678,0.00005449736,0.0002333259,0.0001298631,0.000103689,0.00003231115,0.0001396923,9.038653e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003988772,"about_ca_system_score_gemma":0.000029416,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004107016,"about_ca_topic_score_gemma":0.003513576,"domain_scores_codex":[0.9990653,0.00007422355,0.0004178282,0.00008084447,0.0002500199,0.0001118252],"domain_scores_gemma":[0.9987944,0.0002135736,0.0001658384,0.0003892479,0.0004137591,0.00002318449],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001297324,0.0005360808,0.9486359,0.0003433524,0.0002285305,6.827879e-7,0.02713533,0.01620231,0.00573008,0.0001193496,0.0003383981,0.0006002111],"study_design_scores_gemma":[0.0004679403,0.0002606412,0.9755082,0.00002235448,0.00003066758,0.000001790415,0.02033042,0.000315946,0.002823932,0.00004915069,0.0001312242,0.0000577071],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998171,0.0000343658,0.0002697955,0.00005580242,0.00003612818,0.0004722702,0.000003949777,0.00001805774,0.0009386199],"genre_scores_gemma":[0.9998419,0.000003763898,0.00005608388,0.000003659301,0.00002050246,0.000009087727,4.564413e-7,0.000008417116,0.00005617315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02687229,"threshold_uncertainty_score":0.1960658,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02242982959113345,"score_gpt":0.2601502227759607,"score_spread":0.2377203931848273,"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."}}