{"id":"W3044506081","doi":"10.1109/tcss.2020.3007812","title":"Diversified and Scalable Service Recommendation With Accuracy Guarantee","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":49,"is_retracted":false,"has_abstract":true,"ca_institutions":"Brandon University","funders":"State Key Laboratory of Novel Software Technology; Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Computer science; Scalability; Service (business); Computer security; Computer network; Database; Business","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":[0.0001458962,0.0001640641,0.000219658,0.00007325176,0.0005521576,0.0002899531,0.0002535824,0.00007781494,0.000011016],"category_scores_gemma":[0.000002124326,0.0001513567,0.00004562531,0.0004883324,0.00002402826,0.0005824665,0.000005381154,0.0001656894,0.00003073102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006465791,"about_ca_system_score_gemma":0.0000595407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003578982,"about_ca_topic_score_gemma":0.00002020125,"domain_scores_codex":[0.9987617,0.0001322944,0.0002683667,0.0003718469,0.0002927041,0.0001731021],"domain_scores_gemma":[0.9992957,0.0001980555,0.0001444189,0.00009220504,0.0001846561,0.00008493564],"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":[0.0007376174,0.001244568,0.0004926829,0.00136499,0.001520252,0.00006260044,0.04362132,0.3609273,0.0009295103,0.1037755,0.02994838,0.4553753],"study_design_scores_gemma":[0.001621175,0.000435103,0.0005613124,0.00008947769,0.0000349292,0.00005348535,0.00075984,0.983393,0.0004631067,0.001060609,0.01096428,0.000563722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.00405109,0.00001435093,0.980767,0.01362173,0.000314477,0.0003961454,0.00002655956,0.0003383227,0.0004702916],"genre_scores_gemma":[0.9917436,0.00000634858,0.006768696,0.001271182,0.0001052092,0.00005530009,0.000009138214,0.00001319672,0.00002727943],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9876925,"threshold_uncertainty_score":0.6172148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04100416621898382,"score_gpt":0.2526135140207172,"score_spread":0.2116093478017334,"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."}}