{"id":"W2154447109","doi":"10.1007/s00146-012-0428-9","title":"Information overload and virtual institutions","year":2012,"lang":"en","type":"article","venue":"AI & Society","topic":"Recommender Systems and Techniques","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Information overload; The Internet; Function (biology); Institution; Social institution; Knowledge management; Computer science; Business; Internet privacy; World Wide Web; Sociology","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":[0.006854485,0.0002521726,0.0007503905,0.003034911,0.003458062,0.00690324,0.0008819611,0.002555673,0.01266143],"category_scores_gemma":[0.03919747,0.0003358062,0.0002887014,0.003527684,0.005451465,0.01089637,0.002618726,0.00168269,0.0007205376],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001865521,"about_ca_system_score_gemma":0.0009946191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001935863,"about_ca_topic_score_gemma":0.001858609,"domain_scores_codex":[0.9958182,0.002613016,0.0001248119,0.0003697315,0.0006411008,0.0004332049],"domain_scores_gemma":[0.9417422,0.04173307,0.006409084,0.004041045,0.002900779,0.003173856],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003143332,0.0002722647,0.01661327,0.0001272986,0.00006802938,0.0002998819,0.006035523,0.004322417,0.0003158287,0.8974239,0.01046293,0.06374436],"study_design_scores_gemma":[0.00005158057,0.00005913578,0.007197699,0.00005317865,0.00004186462,0.0002278059,0.003249414,0.007816796,0.0001779972,0.964143,0.016952,0.00002944516],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6739941,0.008761387,0.03523338,0.03543092,0.0004663438,0.00004597695,0.0001804014,0.000199072,0.2456886],"genre_scores_gemma":[0.9945774,0.000585029,0.0005541397,0.0002716391,0.0002625833,0.00001023408,0.00001467819,0.000008293594,0.003715866],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01266143,"threshold_uncertainty_score":0.04235667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02022461973382761,"score_gpt":0.2683835523999232,"score_spread":0.2481589326660956,"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."}}