{"id":"W4411055196","doi":"10.1109/access.2025.3576823","title":"ODACE-RMS: A Remote Web-Based Platform for Automated Multi-Device Android Testing and Certification","year":2025,"lang":"en","type":"article","venue":"IEEE Access","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Espace pour la vie; École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Certification; Computer science; Operating system; Android (operating system); Android application; Embedded system; Web application; Database; World Wide Web","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007159663,0.0008196419,0.0003605942,0.001207873,0.0002613734,0.0007056997,0.001372612,0.0004914288,0.01087618],"category_scores_gemma":[0.002646288,0.0003393893,0.0003593952,0.0002362615,0.0005311713,0.001110271,0.001935815,0.0009347666,0.003242086],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003420631,"about_ca_system_score_gemma":0.000769433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001665301,"about_ca_topic_score_gemma":0.002058705,"domain_scores_codex":[0.9991452,0.0001245341,0.00004794887,0.0001194634,0.0004278758,0.0001350201],"domain_scores_gemma":[0.9980592,0.0006052377,0.0002125721,0.0005461358,0.0003513767,0.0002254179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004900436,0.001328791,0.0174324,0.001280823,0.0001944422,0.002831241,0.00118242,0.01828282,0.2272168,0.01697705,0.06355707,0.6448156],"study_design_scores_gemma":[0.001946111,0.004691558,0.05683859,0.0004344676,0.0002228718,0.005326882,0.000613481,0.3967504,0.3040535,0.009229531,0.2193675,0.000525127],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2469258,0.0009672194,0.5116498,0.0004997416,0.0003393722,0.002543023,0.001707909,0.1861525,0.0492145],"genre_scores_gemma":[0.8553659,0.0002888109,0.1195803,0.0003449093,0.00008543556,0.0005756765,0.002488746,0.003498987,0.01777136],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01087618,"threshold_uncertainty_score":0.03638446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09309727071996447,"score_gpt":0.3508999120083454,"score_spread":0.2578026412883809,"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."}}