{"id":"W4240525481","doi":"10.24124/2005/bpgub411","title":"A hybrid approach for FAQ retrieval tasks","year":2005,"lang":"en","type":"dissertation","venue":"","topic":"Natural Language Processing Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Computer science; Information retrieval; Search engine indexing; Task (project management); Question answering; Automatic indexing; Frequently asked questions; 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":[0.002538523,0.001249079,0.00129065,0.002562664,0.0008163401,0.002624477,0.003197755,0.001766044,0.006354053],"category_scores_gemma":[0.00561229,0.0006243304,0.001509555,0.00282927,0.0006285659,0.00490312,0.002001779,0.001443226,0.005450205],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007493828,"about_ca_system_score_gemma":0.001185709,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002545117,"about_ca_topic_score_gemma":0.003954337,"domain_scores_codex":[0.9972311,0.0008033661,0.0002096671,0.0006798397,0.000950544,0.0001254729],"domain_scores_gemma":[0.9973908,0.00110279,0.00008133247,0.0006887201,0.0006377407,0.00009861787],"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":[0.0004108882,0.000596641,0.0009730858,0.0005269975,0.0001629338,0.0001516909,0.0008673938,0.009531842,0.05317944,0.01741537,0.01044228,0.9057414],"study_design_scores_gemma":[0.0003036176,0.0009172193,0.003038291,0.00007434172,0.0002761265,0.001573117,0.0009347405,0.8151289,0.05812564,0.04836056,0.07101753,0.0002498949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0137509,0.0003558903,0.9748868,0.0001546079,0.00005225323,0.0006122404,0.0003671407,0.005490656,0.004329605],"genre_scores_gemma":[0.05810374,0.0002656886,0.930465,0.0001217522,0.00004780906,0.0008396479,0.001338152,0.0002965625,0.008521724],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006354053,"threshold_uncertainty_score":0.02125645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01397038719359756,"score_gpt":0.2916027259003706,"score_spread":0.2776323387067731,"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."}}