{"id":"W2578302695","doi":"10.1109/wi.2016.0095","title":"Context Free Frequently Asked Questions Detection Using Machine Learning Techniques","year":2016,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Fredericton","funders":"","keywords":"Computer science; Frequently asked questions; Naive Bayes classifier; Classifier (UML); Artificial intelligence; Information retrieval; Machine learning; Natural language processing; Support vector machine; Feature engineering; Parsing","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":[0.0002525075,0.0001006514,0.00009914494,0.000111644,0.0001676269,0.0000776559,0.0004669143,0.00006291222,0.00003972623],"category_scores_gemma":[0.0001572367,0.0000704242,0.00004369315,0.0001378169,0.00002552554,0.0005559944,0.0002196268,0.0001145802,0.00002285566],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001046649,"about_ca_system_score_gemma":0.00003083238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001130744,"about_ca_topic_score_gemma":0.0004088107,"domain_scores_codex":[0.9990936,0.00008048943,0.0001885635,0.0002895765,0.000154643,0.0001931277],"domain_scores_gemma":[0.9992381,0.00006843985,0.00006733013,0.0004907472,0.00007706701,0.00005829869],"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":[0.000002849129,0.00002220003,0.003614406,0.000005249752,0.0000125864,0.000005990929,0.0001436658,0.00005648337,0.3800422,0.04983834,0.00001571786,0.5662404],"study_design_scores_gemma":[0.0004666133,0.0001170444,0.0004044008,0.0001245088,0.000009506176,0.00006911005,0.00002137924,0.4943503,0.4723957,0.02432499,0.007334067,0.0003823516],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03747944,0.0000501238,0.9593979,0.0007570382,0.000168265,0.0001001782,7.181949e-7,0.0008860576,0.001160244],"genre_scores_gemma":[0.786687,0.000007994107,0.2124731,0.0001257078,0.0000592193,0.000007420589,1.419614e-7,0.000007432131,0.0006320344],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7492075,"threshold_uncertainty_score":0.2871816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02752615980495196,"score_gpt":0.2582787823248984,"score_spread":0.2307526225199465,"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."}}