{"id":"W2028918024","doi":"10.1016/j.procs.2011.07.066","title":"Cloud Services Testing: An Understanding","year":2011,"lang":"en","type":"article","venue":"Procedia Computer Science","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Cloud computing; Computer science; Cloud testing; Task (project management); Pace; Service (business); Software; Work (physics); Test (biology); Data science; Cloud computing security; Computer security; Software engineering; World Wide Web; Systems engineering; Operating system","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":[0.001081585,0.0002225308,0.0001666013,0.0003179388,0.0007123855,0.0006602387,0.004158534,0.00004030852,0.000003954767],"category_scores_gemma":[0.00002032002,0.0001949866,0.00004112301,0.002162319,0.0002896776,0.0004323271,0.001819306,0.0001572971,0.00005208297],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231817,"about_ca_system_score_gemma":0.0001511176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005133593,"about_ca_topic_score_gemma":0.000006727812,"domain_scores_codex":[0.9972566,0.00003811576,0.0002715799,0.001035177,0.0006971543,0.0007013895],"domain_scores_gemma":[0.9983523,0.00006296508,0.0001469277,0.0009200169,0.0001836683,0.0003340916],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000201894,0.0008433494,0.02281106,0.0002931641,0.00004012439,0.0001657028,0.05471786,0.005176412,0.0008082268,0.6529464,0.0003470013,0.2618306],"study_design_scores_gemma":[0.0001726031,0.0003559695,0.004683624,0.000059139,0.000004632275,0.00005665122,0.0001317136,0.9730631,0.000570057,0.02036692,0.000189634,0.0003459213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1641354,0.00002565827,0.8262166,0.0001282633,0.00144969,0.0001691177,1.87787e-7,0.0008513991,0.00702363],"genre_scores_gemma":[0.73698,4.816347e-7,0.2621906,0.0005059046,0.0002876046,0.000004868322,1.245672e-7,0.000008477212,0.00002189249],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9678867,"threshold_uncertainty_score":0.7951323,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08710239138076126,"score_gpt":0.2461313668587417,"score_spread":0.1590289754779804,"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."}}