{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001302708,0.001279842,0.001630168,0.002382952,0.0007299394,0.001322343,0.002677136,0.001636857,0.006616884],"category_scores_gemma":[0.003345811,0.0007568297,0.001075142,0.001796089,0.0002235357,0.001986118,0.001091733,0.001643705,0.004418345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001612393,"about_ca_system_score_gemma":0.001193545,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.026364,"about_ca_topic_score_gemma":0.02357209,"domain_scores_codex":[0.9991521,0.0001054431,0.000101805,0.0002720279,0.0002876991,0.00008093145],"domain_scores_gemma":[0.9992342,0.000212241,0.00006320291,0.0001623068,0.0002714449,0.00005649006],"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":[0.001502112,0.000920468,0.01171423,0.0005165278,0.0006437353,0.0005711545,0.00009817519,0.1211838,0.01360725,0.001697433,0.04454962,0.8029955],"study_design_scores_gemma":[0.00006286788,0.00009396776,0.001013181,0.00001897892,0.00004750284,0.00007010309,0.00001239404,0.9894205,0.00396627,0.001274122,0.003987269,0.00003287368],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04230044,0.001980218,0.7747309,0.0009324254,0.0002930372,0.0004716345,0.006067869,0.1683341,0.004889464],"genre_scores_gemma":[0.4501536,0.001319015,0.5165561,0.0009285138,0.0001962437,0.0006767379,0.01601405,0.0008221604,0.01333356],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.026364,"threshold_uncertainty_score":0.05242109,"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."}}