{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006875014,0.0003471859,0.000631976,0.002031661,0.0005024162,0.00253898,0.00031752,0.001024144,0.0015915],"category_scores_gemma":[0.06473295,0.0002464954,0.0005185978,0.002237715,0.001008435,0.002699685,0.0009957099,0.0008259498,0.0003858818],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929306,"about_ca_system_score_gemma":0.0003380479,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001091779,"about_ca_topic_score_gemma":0.001390864,"domain_scores_codex":[0.9913164,0.005508332,0.0004700501,0.0005028124,0.001824398,0.0003778991],"domain_scores_gemma":[0.9241199,0.05664584,0.009374728,0.001879538,0.005429411,0.002550567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001711586,0.0005448936,0.8779155,0.0005242344,0.0002777089,0.0002032954,0.006255889,0.001303745,0.005694023,0.001892928,0.001325878,0.1023504],"study_design_scores_gemma":[0.00003365829,0.001071438,0.9822798,0.00007596914,0.0001188713,0.0002409905,0.002514193,0.008711372,0.001637351,0.002436829,0.0008228606,0.00005667189],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885678,0.0008715834,0.004251416,0.0004386858,0.00002428585,0.00004805133,0.0001256706,0.00006055124,0.005611965],"genre_scores_gemma":[0.9989792,0.00006517147,0.0006470801,0.00004225145,0.00001866541,0.00001977121,0.00004717119,0.00001149865,0.0001690653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006875014,"threshold_uncertainty_score":0.03635895,"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."}}