{"id":"W4220873083","doi":"10.1145/3498366.3505770","title":"The Dark Side of Relevance: The Effect of Non-Relevant Results on Search Behavior","year":2022,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Information retrieval; Search engine; Relevance (law); Task (project management); Preference; World Wide Web","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01505664,0.0006086882,0.0009142556,0.002052867,0.000983828,0.003701595,0.000799994,0.001785391,0.00206042],"category_scores_gemma":[0.1790444,0.0007755794,0.0009677731,0.001387108,0.002622094,0.004450593,0.001961867,0.002258392,0.0005134018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008493994,"about_ca_system_score_gemma":0.0006652349,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004336733,"about_ca_topic_score_gemma":0.003224076,"domain_scores_codex":[0.9811436,0.01141513,0.001190781,0.001913948,0.003606346,0.0007302139],"domain_scores_gemma":[0.5805243,0.3831373,0.01696481,0.0101025,0.005381043,0.003890007],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.007644294,0.002740313,0.7555993,0.002197023,0.001080821,0.0008739759,0.02124213,0.0114775,0.05303266,0.005276321,0.001541458,0.1372942],"study_design_scores_gemma":[0.0002429155,0.004482578,0.9430496,0.0002268168,0.0006569885,0.0007258491,0.003913081,0.02817803,0.007705593,0.008365658,0.002199835,0.0002529862],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9838169,0.001004849,0.008776732,0.0004678413,0.0000134936,0.0001402431,0.0001037312,0.000136804,0.005539532],"genre_scores_gemma":[0.9966649,0.0001298781,0.002654401,0.00009452832,0.00001595587,0.00004570476,0.00006492303,0.00004233317,0.0002873121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01505664,"threshold_uncertainty_score":0.07962805,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01540102496503929,"score_gpt":0.2910267043702406,"score_spread":0.2756256794052013,"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."}}