{"id":"W4386225314","doi":"10.32920/24043236.v1","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; Information retrieval; Service delivery framework; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001186861,0.0004141343,0.0003699385,0.0004731759,0.000176622,0.0005320401,0.002515053,0.0003854581,0.0002390845],"category_scores_gemma":[0.001020442,0.0004010462,0.0001099237,0.000827392,0.00001573477,0.0004106358,0.003923796,0.001510198,0.0007212439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001768581,"about_ca_system_score_gemma":0.0001670356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009851133,"about_ca_topic_score_gemma":0.00006971492,"domain_scores_codex":[0.9971649,0.0003399035,0.0005536924,0.001184833,0.0003811237,0.0003755476],"domain_scores_gemma":[0.9963056,0.001174745,0.0004872071,0.00172434,0.0002053256,0.0001027585],"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":[0.00008963395,0.0007704693,0.009164855,0.0009462795,0.0003750809,0.0001712332,0.001379912,0.05552751,0.0003761487,0.02630238,0.2929738,0.6119227],"study_design_scores_gemma":[0.0002243686,0.0001108826,0.0008294249,0.0003597114,0.00001456,0.000002940314,0.00000668589,0.9693491,0.00136553,0.004722683,0.02253769,0.0004763672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0004795828,0.00001382309,0.9332496,0.04267691,0.001583714,0.0007433555,0.0002209654,0.01265689,0.008375189],"genre_scores_gemma":[0.1326552,0.0002103361,0.8341418,0.005800196,0.000282415,0.0004669946,0.02198217,0.0002353947,0.004225496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9138216,"threshold_uncertainty_score":0.9998441,"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."}}