{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005748878,0.0002924636,0.0005183459,0.0001515855,0.0002105658,0.0005329408,0.001254606,0.0003997933,0.00001485549],"category_scores_gemma":[0.00002786849,0.0002836385,0.0004181449,0.0002943005,0.00002159769,0.0003226271,0.001787663,0.0004002318,0.000004192518],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171266,"about_ca_system_score_gemma":0.0001555076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002105985,"about_ca_topic_score_gemma":0.00005055467,"domain_scores_codex":[0.9979655,0.0001446,0.0004888567,0.0008805892,0.0001977766,0.0003226523],"domain_scores_gemma":[0.9982677,0.0001467435,0.0004099735,0.0007906248,0.0003298324,0.00005515006],"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":[0.00001377025,0.0001469386,0.00007037672,0.0005585473,0.0004923178,0.00001109364,0.0006482521,0.004172554,0.0003832401,0.3959337,0.02585069,0.5717186],"study_design_scores_gemma":[0.000286092,0.00003554265,0.00008305132,0.0001932568,0.000110863,0.000006939152,0.0002500124,0.9604203,0.001780374,0.02477045,0.01119427,0.0008688724],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.000139535,0.00007991564,0.9837497,0.001528333,0.0007652893,0.0005355949,0.000006609958,0.001489193,0.01170579],"genre_scores_gemma":[0.5358954,0.00003674361,0.4623083,0.0002420988,0.0005452666,0.0004015023,0.0002373019,0.00002799303,0.0003053969],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9562477,"threshold_uncertainty_score":0.9999616,"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."}}