{"id":"W2792684907","doi":"10.1145/3176349.3176400","title":"A Study of Immediate Requery Behavior in Search","year":2018,"lang":"en","type":"article","venue":"","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo","keywords":"Computer science; Quality (philosophy); Information retrieval; Search engine","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":[0.006345661,0.0003416328,0.0005617139,0.001131308,0.0004752324,0.001241612,0.0005547008,0.0009840722,0.002276935],"category_scores_gemma":[0.06226954,0.0004298175,0.0003958211,0.000744001,0.0006993079,0.001740233,0.000653986,0.001083796,0.0005464606],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005357004,"about_ca_system_score_gemma":0.0003385218,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002678493,"about_ca_topic_score_gemma":0.001822793,"domain_scores_codex":[0.9951556,0.003056776,0.0003179651,0.0004651856,0.0007515478,0.0002529764],"domain_scores_gemma":[0.8662642,0.113634,0.008506415,0.006229389,0.003564796,0.001801179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005363261,0.00186763,0.8171558,0.0005958225,0.0004937271,0.0005831147,0.0102445,0.006629664,0.05356755,0.004448811,0.0008971332,0.09815293],"study_design_scores_gemma":[0.0002097779,0.007498752,0.8470024,0.0001128691,0.0003661677,0.003242184,0.003903057,0.1008193,0.03011012,0.003254088,0.003131154,0.0003501662],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9957736,0.00015131,0.002805209,0.00006174731,0.000002698969,0.0000611767,0.00006613598,0.00005666035,0.00102134],"genre_scores_gemma":[0.9972933,0.00005906129,0.001856853,0.00002894278,0.000003695388,0.00003103127,0.00008656803,0.00001702624,0.0006235107],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006345661,"threshold_uncertainty_score":0.03355944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05714309311828097,"score_gpt":0.3383181002748745,"score_spread":0.2811750071565935,"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."}}