{"id":"W3103849289","doi":"","title":"Complex Question Answering: Unsupervised Learning Approaches and Experiments","year":2011,"lang":"en","type":"article","venue":"","topic":"Topic Modeling","field":"Computer Science","cited_by":40,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of Lethbridge","funders":"","keywords":"Computer science; Artificial intelligence; Natural language processing; Automatic summarization; Set (abstract data type); Information retrieval; Weighting; Cosine similarity; Tree kernel; Cluster analysis; Kernel method; Support vector machine","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":[0.007941198,0.001411568,0.001385071,0.001345998,0.00115007,0.001214736,0.002378063,0.002341036,0.00397186],"category_scores_gemma":[0.0247165,0.0004702893,0.000938322,0.002090566,0.001521995,0.002606525,0.001946668,0.002312213,0.001724942],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001297784,"about_ca_system_score_gemma":0.001071413,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00677223,"about_ca_topic_score_gemma":0.005786841,"domain_scores_codex":[0.9921292,0.004364891,0.0006187569,0.00128853,0.001248515,0.0003501066],"domain_scores_gemma":[0.9688359,0.02334253,0.0009542106,0.004118569,0.002139626,0.0006091325],"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":[0.004906635,0.01720871,0.02385549,0.003188463,0.001096611,0.0008949928,0.002496938,0.3888128,0.01881616,0.008956588,0.03627273,0.4934939],"study_design_scores_gemma":[0.0006850559,0.001494127,0.01108715,0.0001129665,0.0001275748,0.0004974423,0.0006731795,0.9455535,0.0159433,0.01514844,0.008533508,0.0001436507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7577524,0.002661062,0.2077504,0.0009228205,0.000316348,0.003373244,0.006366059,0.005837057,0.01502062],"genre_scores_gemma":[0.7712452,0.0007344296,0.2079383,0.0005423751,0.0001647163,0.002232359,0.01274773,0.0004860354,0.003908739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007941198,"threshold_uncertainty_score":0.04199761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2177588276779548,"score_gpt":0.2765894802364686,"score_spread":0.05883065255851372,"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."}}