{"id":"W3111108459","doi":"10.1109/scc49832.2020.00020","title":"MLP4ML: Machine Learning Service Recommendation System using MLP","year":2020,"lang":"en","type":"article","venue":"","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Quality of service; Service (business); Multilayer perceptron; Machine learning; Data mining; Domain (mathematical analysis); Recommender system; Web service; Artificial intelligence; Perceptron; Database; Artificial neural network; World Wide Web; 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":[0.0002246661,0.0001103319,0.0001251713,0.00005144169,0.000113729,0.0001877339,0.0007033164,0.00004023446,0.0000465235],"category_scores_gemma":[0.0000448948,0.0001054046,0.00002294087,0.0005017598,0.000005485494,0.0006708194,0.0005821533,0.0001523339,0.000100029],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005609518,"about_ca_system_score_gemma":0.00002722599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003808193,"about_ca_topic_score_gemma":0.00001290716,"domain_scores_codex":[0.9990689,0.00009378828,0.0001951528,0.0003399485,0.0001340346,0.0001681908],"domain_scores_gemma":[0.999424,0.00004528967,0.00009955093,0.0002769057,0.00006232975,0.00009194543],"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":[0.00006140987,0.0001845038,0.01381411,0.001258219,0.0001904425,0.0001402589,0.01074116,0.002524801,0.04655726,0.2075959,0.02985992,0.687072],"study_design_scores_gemma":[0.00009440743,0.00005117567,0.00003850955,0.00003116946,0.000004674956,0.00002070086,0.00008422726,0.9800939,0.004541023,0.00003285041,0.01487236,0.0001350315],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003093298,0.000009128387,0.9823959,0.005063232,0.00008803741,0.00009871145,0.000005136952,0.002406838,0.006839723],"genre_scores_gemma":[0.4978037,0.000001896688,0.5003069,0.001751294,0.00005584612,0.000003872044,0.00003760971,0.00001250919,0.00002634589],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.977569,"threshold_uncertainty_score":0.4298277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06629516834951354,"score_gpt":0.2690170023304301,"score_spread":0.2027218339809165,"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."}}