{"id":"W4386216049","doi":"10.32920/24043236","title":"Machine Learning Service Recommendation Based on Accuracy Related QoS Attributes","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Quality of service; Service (business); Mobile QoS; Cloud computing; Web service; Database; Machine learning; World Wide Web; Data mining; Service delivery framework; Computer network; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001727568,0.001185547,0.002222704,0.002798935,0.0006973565,0.001470942,0.001166342,0.001254474,0.002750124],"category_scores_gemma":[0.009201942,0.0003379728,0.001277454,0.002971512,0.0003665453,0.002054719,0.0005039436,0.001328892,0.001261374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001515361,"about_ca_system_score_gemma":0.001386066,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02371899,"about_ca_topic_score_gemma":0.02597336,"domain_scores_codex":[0.9979437,0.0003924535,0.000236985,0.000465021,0.0006681458,0.0002937819],"domain_scores_gemma":[0.9927423,0.003769521,0.0005732342,0.0008298939,0.001745483,0.0003395926],"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":[0.002425858,0.001610828,0.05495068,0.0004103597,0.0004252482,0.00029004,0.0001360281,0.3021514,0.01288697,0.002833284,0.0167087,0.6051705],"study_design_scores_gemma":[0.00001809679,0.00007879082,0.001883548,0.000008726171,0.00002375576,0.00003984541,0.00002318833,0.9957845,0.001256989,0.0005855982,0.0002872733,0.000009706833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6484691,0.004365882,0.3252138,0.002426353,0.0004630447,0.0004895417,0.002951819,0.005637092,0.009983255],"genre_scores_gemma":[0.9168553,0.0005670756,0.07647605,0.0002357389,0.000151782,0.0000688871,0.002800182,0.00007826333,0.002766624],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02371899,"threshold_uncertainty_score":0.04716182,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07214252694818842,"score_gpt":0.3131558778288868,"score_spread":0.2410133508806984,"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."}}