{"id":"W2168694452","doi":"10.1145/1458082.1458148","title":"Non-local evidence for expert finding","year":2008,"lang":"en","type":"article","venue":"","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Computer science; Complement (music); Task (project management); Information retrieval; Prior probability; Data science; Artificial intelligence; Engineering; Bayesian probability","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000235262,0.0001115199,0.0001488974,0.00007138598,0.0002940946,0.00006481569,0.0007033402,0.00006080095,0.00001034842],"category_scores_gemma":[0.00005997202,0.00008973021,0.00008730812,0.0001925679,0.00004214769,0.0004913061,0.0001142254,0.00005500545,0.0001070332],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000515912,"about_ca_system_score_gemma":0.00006829158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001475576,"about_ca_topic_score_gemma":0.00000564022,"domain_scores_codex":[0.9989089,0.00001654915,0.000193429,0.0003592671,0.0002146958,0.000307171],"domain_scores_gemma":[0.9991065,0.0002669631,0.00004415563,0.000434975,0.00005278274,0.00009468658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005802147,0.0002656639,0.011002,0.0001284921,0.00008072983,0.0001855899,0.04215214,0.0003842793,0.03877966,0.09461825,0.7337314,0.0786138],"study_design_scores_gemma":[0.001927381,0.0008542661,0.004012038,0.0007827937,0.000005550491,0.0008380734,0.0008086825,0.7101263,0.1505898,0.0008708191,0.127607,0.001577285],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01186556,0.000367454,0.9830336,0.0008829284,0.0007632978,0.000185471,2.490673e-7,0.0002072885,0.002694163],"genre_scores_gemma":[0.9353719,0.00003484251,0.05897471,0.0005862337,0.0002223571,0.0000761868,3.956597e-7,0.000008235858,0.004725159],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9240589,"threshold_uncertainty_score":0.3659092,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1475722388408096,"score_gpt":0.3459782915907313,"score_spread":0.1984060527499217,"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."}}