{"id":"W145221795","doi":"10.1002/asi.20319","title":"Query expansion behavior within a thesaurus‐enhanced search environment: A user‐centered evaluation","year":2006,"lang":"en","type":"article","venue":"Journal of the American Society for Information Science and Technology","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Thesaurus; Information retrieval; Computer science; Selection (genetic algorithm); Search engine; Interface (matter); World Wide Web; Term (time); Artificial intelligence","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":[0.01182833,0.0006599737,0.001243922,0.001082708,0.0005204381,0.001391385,0.0006315681,0.000650645,0.001187687],"category_scores_gemma":[0.0394908,0.0003205503,0.0006242965,0.0007762552,0.0003607501,0.001311317,0.000953599,0.0004438977,0.0003489991],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003975228,"about_ca_system_score_gemma":0.0005102341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001155438,"about_ca_topic_score_gemma":0.00166579,"domain_scores_codex":[0.9884566,0.008658687,0.0009445045,0.0005314515,0.001200488,0.0002081931],"domain_scores_gemma":[0.9403192,0.04940044,0.002104518,0.001951576,0.005041486,0.001182834],"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":[0.03737881,0.01321438,0.2305683,0.005029876,0.001044305,0.001190341,0.05470427,0.006440388,0.1399992,0.000513666,0.002571007,0.5073455],"study_design_scores_gemma":[0.002917903,0.07454104,0.6821831,0.000635575,0.002555949,0.002282363,0.02040248,0.08454923,0.1201272,0.0006023802,0.008378352,0.0008243335],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9951152,0.0001018027,0.003640951,0.00002406101,0.000004136782,0.0003123545,0.0000809458,0.0001520075,0.000568587],"genre_scores_gemma":[0.9800474,0.0001205787,0.01819788,0.00004983314,0.00001525167,0.0006411161,0.0002835028,0.00004478066,0.0005996853],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01182833,"threshold_uncertainty_score":0.0625549,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02012799786360112,"score_gpt":0.2890141695333088,"score_spread":0.2688861716697076,"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."}}