{"id":"W78004671","doi":"","title":"Complex Interactive Question Answering Enhanced with Wikipedia.","year":2007,"lang":"en","type":"article","venue":"","topic":"Wikis in Education and Collaboration","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; WordNet; Variety (cybernetics); Information retrieval; Question answering; Sentence; Facet (psychology); Query expansion; Term (time); Noun; Proper noun; Natural language processing; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004186873,0.00004157943,0.00004323413,0.00004559254,0.0002114032,0.00005573559,0.00005755823,0.0000295378,0.0005573366],"category_scores_gemma":[0.00008290674,0.00003641466,0.000008017695,0.0003110164,0.00007493028,0.000294157,0.000004709291,0.00004682721,0.00004305186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001225608,"about_ca_system_score_gemma":0.0001201735,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006452471,"about_ca_topic_score_gemma":0.01905207,"domain_scores_codex":[0.9994707,0.00004424357,0.00008336364,0.00009700833,0.0001748064,0.0001298998],"domain_scores_gemma":[0.9995656,0.00007134151,0.00004439086,0.00005747645,0.0002024431,0.00005874819],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003552407,0.0003886872,0.01362533,0.00001117513,0.00003932963,0.00000389939,0.2272354,0.0000827794,0.02452959,0.5418673,0.007888223,0.1839731],"study_design_scores_gemma":[0.0007618507,0.0002414804,0.1750655,0.0000632634,0.00002087197,0.000001553296,0.3631146,0.0001074952,0.03611818,0.002985556,0.4209464,0.0005733048],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3681917,0.000004236258,0.08535439,0.001461341,0.0003907124,0.0001491144,3.394168e-7,0.0001116492,0.5443364],"genre_scores_gemma":[0.9909807,0.000006244436,0.004201599,0.0003289206,0.0003105491,0.000005684829,0.000004403858,0.000003594523,0.004158298],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.622789,"threshold_uncertainty_score":0.9988477,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01851693541510876,"score_gpt":0.3755073733150486,"score_spread":0.3569904378999399,"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."}}