{"id":"W2141999856","doi":"10.1145/1031171.1031259","title":"Approximating the top-m passages in a parallel question answering system","year":2004,"lang":"en","type":"article","venue":"","topic":"Algorithms and Data Compression","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Merge (version control); Computer science; Question answering; Computation; Information retrieval; Node (physics); Data mining; Algorithm","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":[0.0003709047,0.00006788038,0.00007633354,0.00003539315,0.0001030084,0.0001452968,0.0004611478,0.00002706181,0.000001372856],"category_scores_gemma":[0.00001411179,0.00004004951,0.00001798241,0.0001791089,0.00001041313,0.0004470843,0.000224577,0.00008753093,0.0000131965],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005250877,"about_ca_system_score_gemma":0.00001915826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003752966,"about_ca_topic_score_gemma":0.00003008573,"domain_scores_codex":[0.9993111,0.00003916671,0.0001624132,0.0001884772,0.0001496156,0.0001491945],"domain_scores_gemma":[0.9995261,0.00003436728,0.00004426096,0.0003550899,0.00001506103,0.00002509625],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002755625,0.00004734541,0.001614909,0.00004685719,0.000004373709,0.00002304143,0.00105551,0.02085223,0.0002683436,0.9101631,0.00005646823,0.06586508],"study_design_scores_gemma":[0.0007491432,0.00003837361,0.02620447,0.0004302195,0.000002241356,0.00003471669,0.0005731984,0.9635386,0.000478878,0.006977183,0.0007212284,0.0002517737],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01428443,0.00008004826,0.982982,0.0007916422,0.0001198083,0.0001236455,3.704765e-7,0.0001729395,0.001445111],"genre_scores_gemma":[0.7424822,0.000002422923,0.2573736,0.00006253903,0.00003361856,0.00001642362,0.000001087102,0.000002756513,0.00002536004],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9426863,"threshold_uncertainty_score":0.1633172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009827592412512267,"score_gpt":0.2348874664496116,"score_spread":0.2250598740370993,"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."}}