{"id":"W2077570964","doi":"10.1145/2024288.2024295","title":"Constructing expert profiles over time for skills management and expert finding","year":2011,"lang":"en","type":"article","venue":"","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Profiling (computer programming); Computer science; Knowledge management; Recommender system; Identification (biology); Expert system; Data science; World Wide Web; 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":[0.005979242,0.000712299,0.000690149,0.006804947,0.0011527,0.002436519,0.001326029,0.001129688,0.002006075],"category_scores_gemma":[0.03068293,0.0005591194,0.0007186698,0.004154768,0.000385143,0.003687506,0.001811626,0.001424846,0.001823799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001115644,"about_ca_system_score_gemma":0.001647922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004924197,"about_ca_topic_score_gemma":0.01159055,"domain_scores_codex":[0.9961269,0.001359287,0.0002847075,0.001137595,0.000922567,0.0001689231],"domain_scores_gemma":[0.9776921,0.01033769,0.002466702,0.004587509,0.004049858,0.0008661259],"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":[0.0004814013,0.0008692463,0.141751,0.000421854,0.0002666569,0.0004439739,0.008591627,0.02476886,0.01326173,0.008327707,0.009075362,0.7917406],"study_design_scores_gemma":[0.0001004643,0.0008280023,0.1625319,0.0004992309,0.0003158255,0.0010665,0.01022395,0.6653634,0.03262827,0.06463029,0.06145215,0.0003600994],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2662297,0.000414024,0.7125189,0.001081098,0.000122988,0.001249549,0.005070066,0.002810518,0.0105031],"genre_scores_gemma":[0.4506421,0.0002159892,0.5397675,0.00009814847,0.00005521009,0.0006188478,0.005334848,0.0001600012,0.003107311],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006804947,"threshold_uncertainty_score":0.03162163,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.028034756021939,"score_gpt":0.2618110816060652,"score_spread":0.2337763255841262,"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."}}