{"id":"W2338216121","doi":"10.1145/2911451.2911507","title":"When does Relevance Mean Usefulness and User Satisfaction in Web Search?","year":2016,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":93,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"","keywords":"Relevance (law); Computer science; Information retrieval; Context (archaeology); Set (abstract data type); User satisfaction; Computer user satisfaction; Quality (philosophy); Search engine; World Wide Web; Human–computer interaction; User experience design; User interface design","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":[0.0003256651,0.00006525632,0.00007230221,0.0001154548,0.00005611641,0.0001045105,0.0001909052,0.00003636014,0.0001214199],"category_scores_gemma":[0.00003567808,0.0000327148,0.00001385836,0.0001483133,0.00004237407,0.001588132,0.0001338639,0.00006753962,0.00009481698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004326036,"about_ca_system_score_gemma":0.0000429145,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001278632,"about_ca_topic_score_gemma":0.0006690363,"domain_scores_codex":[0.9991781,0.00004624285,0.0001513272,0.0001637483,0.0002640541,0.000196592],"domain_scores_gemma":[0.9995263,0.0001030152,0.00002181948,0.0002090583,0.00006833961,0.00007147247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00002701059,0.0000293635,0.2162172,0.00002555715,0.000004938698,0.00001196693,0.003052045,0.000003447946,0.0109612,0.1248004,0.001033003,0.6438339],"study_design_scores_gemma":[0.002115778,0.0001476541,0.8911662,0.0001139873,0.000002694683,0.00002330163,0.0002964493,0.009375655,0.07101128,0.00587234,0.0193681,0.0005065699],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8859439,0.000005105297,0.1105505,0.002460436,0.0001141534,0.0001277283,0.000002441529,0.0000847955,0.0007109135],"genre_scores_gemma":[0.9911603,0.00003632887,0.005684252,0.0001511668,0.00001350198,0.000007955879,2.209842e-7,0.000002814911,0.002943413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.674949,"threshold_uncertainty_score":0.1334071,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02073580549311979,"score_gpt":0.2519200293944052,"score_spread":0.2311842239012854,"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."}}