{"id":"W4311164299","doi":"10.18280/ts.390511","title":"A Deep Transfer Learning Based Visual Complexity Evaluation Approach to Mobile User Interfaces","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Usability; Login; Human–computer interaction; Deep learning; Heuristics; Mobile device; User interface design; User interface; Artificial intelligence; Machine learning; User experience design; Visualization; Transfer of learning; Multimedia; World Wide Web","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":[0.002079867,0.0001742676,0.0001886665,0.0001534965,0.0004739088,0.0002147171,0.0006362536,0.00002192685,0.001297152],"category_scores_gemma":[0.000008190157,0.0001794708,0.00008835873,0.0004125103,0.00003137936,0.0003478581,0.0002180374,0.000255645,0.00002571821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002373593,"about_ca_system_score_gemma":0.0001283317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004528273,"about_ca_topic_score_gemma":0.000007818401,"domain_scores_codex":[0.9967251,0.0009073348,0.0003461645,0.0005086006,0.001183419,0.0003294246],"domain_scores_gemma":[0.9994484,0.00007956432,0.00004862568,0.0002132925,0.0001046076,0.0001055396],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001166327,0.001651001,0.0002486739,0.00004718168,0.00006164567,0.000004753797,0.008407637,0.916976,0.006951243,0.005544722,0.0005429851,0.05944747],"study_design_scores_gemma":[0.001025623,0.001091471,0.0008014436,0.000006302402,0.00002311221,0.000003205117,0.001288599,0.9867864,0.00313848,0.0001222987,0.005463596,0.000249501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1701706,0.00002968592,0.8276915,0.0002969001,0.00009640625,0.001012816,0.000003508642,0.0001154839,0.0005831412],"genre_scores_gemma":[0.9811957,2.744878e-7,0.01589854,0.001155491,0.00004544548,0.001571384,0.00004999256,0.00001206075,0.00007107919],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8117929,"threshold_uncertainty_score":0.9996158,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06810133100677496,"score_gpt":0.3320915283016302,"score_spread":0.2639901972948553,"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."}}