{"id":"W2084465640","doi":"10.1109/iccac.2014.26","title":"QuARAM Recommender: Case-Based Reasoning for IaaS Service Selection","year":2014,"lang":"en","type":"article","venue":"","topic":"AI-based Problem Solving and Planning","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Computer science; Recommender system; Cloud computing; Provisioning; Selection (genetic algorithm); Software deployment; Service (business); Resource (disambiguation); Case-based reasoning; Service provider; World Wide Web; Artificial intelligence; Software engineering; Computer network","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":[0.0008493581,0.0001347524,0.0001316391,0.00008675143,0.0003870771,0.0001795616,0.0003028326,0.00008221551,0.00002223237],"category_scores_gemma":[0.00008179154,0.0001275324,0.0000534062,0.0003594913,0.000005737909,0.0002515989,0.00003615425,0.0001271774,0.00003289955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004415514,"about_ca_system_score_gemma":0.00007238449,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005380903,"about_ca_topic_score_gemma":0.0002761437,"domain_scores_codex":[0.9989117,0.000107921,0.000183103,0.0003632418,0.0001135303,0.0003205248],"domain_scores_gemma":[0.9987977,0.0005708069,0.00008905117,0.0003055246,0.0001448193,0.00009216675],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001525732,0.0003310577,0.01182606,0.0006630684,0.0001318664,0.00008490703,0.003954962,0.1074021,0.001254669,0.2280266,0.168287,0.4778852],"study_design_scores_gemma":[0.0004059944,0.0001758177,0.00003288723,0.0000395132,0.000006910654,0.0001510044,0.0000236197,0.9643846,0.001371583,0.00114391,0.03207008,0.0001940368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003293526,0.00001879154,0.9882496,0.00414079,0.0002407532,0.0001658819,0.000001329933,0.0005612466,0.00332809],"genre_scores_gemma":[0.5111993,2.738256e-7,0.4845198,0.003870626,0.00009901586,0.0000359777,0.000009967051,0.00001240691,0.000252649],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8569825,"threshold_uncertainty_score":0.520062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02183403860108404,"score_gpt":0.2569758841948174,"score_spread":0.2351418455937334,"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."}}