{"id":"W2755793481","doi":"10.1109/cloud.2017.79","title":"Service Selection in a Cloud Marketplace: A Multi-Perspective Solution","year":2017,"lang":"en","type":"article","venue":"","topic":"Service-Oriented Architecture and Web Services","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Service provider; Cloud computing; Selection (genetic algorithm); Service (business); Profit (economics); Service level objective; Web service; Service design; World Wide Web; Business; Marketing","routes":{"ca_aff":true,"ca_fund":true,"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":[0.003668002,0.001406979,0.002229526,0.00283658,0.002799316,0.004621042,0.002873796,0.002512055,0.003919821],"category_scores_gemma":[0.003218153,0.0007109555,0.002188135,0.005318084,0.001138758,0.004938822,0.002942186,0.001808729,0.0008062584],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00289307,"about_ca_system_score_gemma":0.002628328,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006895477,"about_ca_topic_score_gemma":0.00909446,"domain_scores_codex":[0.9970017,0.0007976773,0.0001396792,0.0007754136,0.0007859675,0.0004995087],"domain_scores_gemma":[0.9980054,0.0006724971,0.0002442593,0.0002177388,0.0004427585,0.0004172386],"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":[0.0008278036,0.001239405,0.01116877,0.0008266186,0.0007155712,0.002437888,0.0006652496,0.4365272,0.01704803,0.1454934,0.01789252,0.3651575],"study_design_scores_gemma":[0.00005272091,0.0001100682,0.0006245827,0.00002305217,0.00007219837,0.0003311596,0.0003211074,0.9631195,0.001428445,0.02963751,0.004248874,0.00003082624],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0720981,0.002165969,0.9111062,0.002800108,0.0002083324,0.0004806888,0.000300296,0.0007216961,0.01011867],"genre_scores_gemma":[0.6621521,0.0009886819,0.3307874,0.000318432,0.0002457309,0.0001362102,0.0003744671,0.0001818382,0.004815118],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006895477,"threshold_uncertainty_score":0.02099085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01801643527603406,"score_gpt":0.2831853839296044,"score_spread":0.2651689486535703,"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."}}