{"id":"W2115057477","doi":"","title":"York University at TREC 2006: Enterprise Email Discussion Search","year":2006,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Computer science; Information retrieval; Thread (computing); Ranking (information retrieval); Search engine; Word (group theory); Document retrieval; Rank (graph theory); Query expansion; World Wide Web","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000432185,0.00021106,0.0002177874,0.0002141406,0.0004510059,0.0002652244,0.001218968,0.0001301932,0.0006314731],"category_scores_gemma":[0.00003196665,0.0001538929,0.0001191499,0.0009412284,0.000160035,0.0008333632,0.0006988372,0.0003027328,0.001143377],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002869298,"about_ca_system_score_gemma":0.0002685514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003299088,"about_ca_topic_score_gemma":0.00007876952,"domain_scores_codex":[0.9977244,0.0001550893,0.0002980384,0.0004320045,0.000848763,0.0005417592],"domain_scores_gemma":[0.9987053,0.00007796547,0.0001053686,0.0006089096,0.0002811576,0.000221303],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.003032052,0.001657532,0.1010874,0.0003390454,0.00009660204,0.0009077431,0.01285575,0.0002724037,0.06691819,0.5236142,0.05709398,0.2321251],"study_design_scores_gemma":[0.00804271,0.00172555,0.3893001,0.0004269054,0.00009470054,0.000223243,0.001715499,0.1236938,0.1141828,0.003281603,0.3536436,0.00366947],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7569639,0.00008334635,0.1853918,0.002952099,0.0005551567,0.0006971783,0.00009130452,0.0006859336,0.05257926],"genre_scores_gemma":[0.9515941,0.00001917986,0.001499327,0.00007111076,0.00004823256,7.029503e-7,0.00003055646,0.000007498299,0.04672931],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5203326,"threshold_uncertainty_score":0.9996343,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02514964510748901,"score_gpt":0.2407946580660498,"score_spread":0.2156450129585608,"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."}}