{"id":"W2394683260","doi":"","title":"Selective presentation of peer commentary on Web objects through a modeling of user similarity and reputability: reducing information overload in social networks.","year":2012,"lang":"en","type":"article","venue":"","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Limiting; Presentation (obstetrics); Similarity (geometry); World Wide Web; Information overload; Value (mathematics); Social network (sociolinguistics); Web application; Information retrieval; Internet privacy; Social media; Artificial intelligence","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":[0.0007737307,0.00008140875,0.0001773783,0.00008107378,0.0000520198,0.00003262283,0.0001195529,0.00007028038,0.000001566743],"category_scores_gemma":[0.00002910906,0.00007385188,0.00003114672,0.0002301559,0.00001743491,0.0022302,0.0001227954,0.0001145036,1.002624e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006660706,"about_ca_system_score_gemma":0.00002065199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001824403,"about_ca_topic_score_gemma":0.0000602274,"domain_scores_codex":[0.9990047,0.0001178708,0.0003798027,0.0001145181,0.0002326877,0.0001503703],"domain_scores_gemma":[0.9994608,0.00007681681,0.0001634185,0.000154683,0.0001235923,0.0000206469],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004273078,0.002188499,0.3323002,0.001291389,0.0003066922,0.0000010736,0.3289989,0.06506772,0.001608172,0.128466,0.07355182,0.06579227],"study_design_scores_gemma":[0.0004466337,0.0001111057,0.01187996,0.00007312013,0.00000554392,0.000001584982,0.0009753676,0.9795332,0.003926745,0.002772504,0.0001398135,0.0001344126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.442578,0.00004093652,0.5497533,0.001551117,0.0001669743,0.0005419384,0.000003473379,0.00007407263,0.005290175],"genre_scores_gemma":[0.9881818,0.00001130541,0.01138128,0.000357547,0.0000436398,0.00001347175,0.00000492354,0.000002714087,0.000003330525],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9144655,"threshold_uncertainty_score":0.3011592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02973000200690825,"score_gpt":0.2936715959586845,"score_spread":0.2639415939517763,"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."}}