{"id":"W2000389083","doi":"10.1145/2187980.2188202","title":"Finding expert users in community question answering","year":2012,"lang":"en","type":"article","venue":"","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":195,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Latent Dirichlet allocation; Computer science; Question answering; Topic model; Information retrieval; Matching (statistics); Set (abstract data type); Focus (optics); Data science; World Wide Web","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":[0.01702018,0.001062503,0.001894819,0.005632919,0.001749722,0.003140367,0.002354308,0.004579406,0.002793336],"category_scores_gemma":[0.05910526,0.0008744764,0.00093156,0.002890583,0.001319062,0.009000157,0.004043407,0.001776402,0.00167224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001201949,"about_ca_system_score_gemma":0.001780015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01108164,"about_ca_topic_score_gemma":0.01133687,"domain_scores_codex":[0.9886961,0.006944619,0.0003994369,0.00222027,0.001180759,0.0005587717],"domain_scores_gemma":[0.9536232,0.03763834,0.001494986,0.002587553,0.003169189,0.001486661],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003116869,0.002617019,0.122738,0.001387645,0.0004607778,0.001221663,0.01947334,0.08621675,0.01799721,0.03652374,0.03093108,0.6773158],"study_design_scores_gemma":[0.0001873406,0.000305729,0.01162026,0.0001154707,0.0001179639,0.0006328056,0.005036561,0.9068052,0.008088594,0.05520858,0.0117596,0.0001219004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5064539,0.002185126,0.4758957,0.00241856,0.00009421356,0.0006447791,0.0009036996,0.002796976,0.008607059],"genre_scores_gemma":[0.8272414,0.0003589546,0.1663414,0.0004070193,0.0001534307,0.0002014734,0.00178822,0.0001582222,0.003349731],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01702018,"threshold_uncertainty_score":0.09001237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05150179347618641,"score_gpt":0.3147266579913301,"score_spread":0.2632248645151437,"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."}}