{"id":"W4313023730","doi":"10.1609/icwsm.v7i1.14406","title":"Enhancing Technical Q&amp;A Forums with CiteHistory","year":2021,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Expert finding and Q&A systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"World Wide Web; Plug-in; Inclusion (mineral); Software deployment; Computer science; Software; Process (computing); Web browser; Ask price; The Internet; Psychology; Software engineering; Business","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000210456,0.0001029962,0.0001587995,0.00005828289,0.000144847,0.0001295511,0.000671546,0.00007152808,0.00001392141],"category_scores_gemma":[0.0002015888,0.00007209784,0.00005395541,0.0001335213,0.0001153919,0.0001784391,0.0002288023,0.0001787725,0.000004505306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006046493,"about_ca_system_score_gemma":0.0001557955,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007526149,"about_ca_topic_score_gemma":0.0001024453,"domain_scores_codex":[0.9988976,0.000007682984,0.0001865388,0.0002525884,0.0005141983,0.0001414579],"domain_scores_gemma":[0.9991857,0.00009212835,0.0001552538,0.00007262459,0.0004525451,0.00004175151],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002490961,0.00007439087,0.002233325,0.00003640974,0.00003906627,0.000002113825,0.007267274,1.787238e-7,0.1763817,0.8072496,0.003150216,0.003540817],"study_design_scores_gemma":[0.0070864,0.0007476799,0.04577969,0.005730055,0.0001443067,0.0008256247,0.01884434,0.005596691,0.4620242,0.129335,0.3205107,0.003375257],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9072348,0.0001371119,0.001793822,0.02182303,0.002372059,0.0001690975,0.00001457601,0.0001428551,0.06631265],"genre_scores_gemma":[0.9962822,0.0000231723,0.002178511,0.0002909121,0.0002540069,0.00001451007,0.000001466197,0.000006041526,0.0009492418],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6779146,"threshold_uncertainty_score":0.2940065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03084570744635869,"score_gpt":0.24900123295079,"score_spread":0.2181555255044313,"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."}}