{"id":"W4306317066","doi":"10.1145/3511808.3557526","title":"OpeNTF: A Benchmark Library for Neural Team Formation","year":2022,"lang":"en","type":"article","venue":"Proceedings of the 31st ACM International Conference on Information &amp; Knowledge Management","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Benchmark (surveying); Computer science; Artificial intelligence; Computer architecture; Geology","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":[0.002831131,0.00214634,0.001000305,0.002309001,0.001200893,0.002336032,0.005635289,0.002573005,0.01923458],"category_scores_gemma":[0.01733778,0.0008948909,0.001604507,0.002845471,0.0008261285,0.002924611,0.002476513,0.002353047,0.01145507],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001951638,"about_ca_system_score_gemma":0.003803341,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01419127,"about_ca_topic_score_gemma":0.01825424,"domain_scores_codex":[0.9979159,0.0005112986,0.0002118139,0.000406849,0.0006286592,0.0003253128],"domain_scores_gemma":[0.9952977,0.001946561,0.0003105522,0.001057993,0.0009992078,0.0003879453],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006518724,0.0007335023,0.007210785,0.002780183,0.0003718607,0.0003952002,0.0002290959,0.332828,0.002611424,0.0242694,0.4757642,0.1521544],"study_design_scores_gemma":[0.0003181946,0.0001954264,0.002549628,0.0002507096,0.0000628004,0.0002213876,0.0001338594,0.8574341,0.006526909,0.04462462,0.08761443,0.00006789229],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08577619,0.004174641,0.4604728,0.002574967,0.002082621,0.001403879,0.1473104,0.206582,0.08962256],"genre_scores_gemma":[0.2391942,0.00179436,0.4220338,0.001297848,0.0002322971,0.003422182,0.2948306,0.01935883,0.01783591],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01923458,"threshold_uncertainty_score":0.06434602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04937004160800148,"score_gpt":0.28399999509923,"score_spread":0.2346299534912285,"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."}}