{"id":"W4236530352","doi":"10.32920/ryerson.14649648","title":"Fuzzy Thesauri Recommendation System For Web 2.0 Social networks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Advanced Text Analysis Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Information retrieval; World Wide Web; The Internet; Scalability; Set (abstract data type); Node (physics); Social network (sociolinguistics); Recommender system; Order (exchange); Database; Social media","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":[0.0007174949,0.0006243882,0.00098458,0.001876895,0.0009912295,0.001042126,0.001136594,0.001114061,0.005861525],"category_scores_gemma":[0.001658992,0.0002607706,0.0008430547,0.001097166,0.0001931266,0.001030642,0.0004027518,0.0005550573,0.002474068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237089,"about_ca_system_score_gemma":0.0009285171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04644155,"about_ca_topic_score_gemma":0.05543601,"domain_scores_codex":[0.9994801,0.00007644897,0.00005823302,0.0001281674,0.0002074182,0.00004965856],"domain_scores_gemma":[0.9995382,0.00008577447,0.00003533854,0.0000530206,0.0002546419,0.00003302523],"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":[0.0023568,0.00110089,0.008562291,0.0006797606,0.000382078,0.001068581,0.0004079011,0.06573693,0.0409173,0.006054595,0.03194109,0.8407918],"study_design_scores_gemma":[0.0001287018,0.0002455945,0.003705674,0.00003086843,0.0001460212,0.0002537706,0.0001318967,0.9733208,0.01225211,0.001820313,0.007899892,0.00006442048],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2460671,0.003553653,0.6984055,0.001310232,0.0004804528,0.001482591,0.003389043,0.02050366,0.02480779],"genre_scores_gemma":[0.7259048,0.001202261,0.2485131,0.0002409058,0.0001214852,0.0004141237,0.002291081,0.0001101198,0.02120198],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.04644155,"threshold_uncertainty_score":0.0923425,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02691957498832612,"score_gpt":0.3015158984028923,"score_spread":0.2745963234145662,"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."}}