{"id":"W2401796064","doi":"","title":"ClueWeb09 and TREC Diversity.","year":2010,"lang":"en","type":"article","venue":"NTCIR","topic":"Information Retrieval and Search Behavior","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Information retrieval; Task (project management); World Wide Web; Set (abstract data type); Search engine; Web page","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0254788,0.004245597,0.003720409,0.01774123,0.004794414,0.008605164,0.007566846,0.007462893,0.0376899],"category_scores_gemma":[0.0497833,0.001365052,0.002011758,0.0112944,0.002030761,0.01115648,0.006924308,0.005585511,0.03933259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01334905,"about_ca_system_score_gemma":0.01459455,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.1360615,"about_ca_topic_score_gemma":0.1565145,"domain_scores_codex":[0.9730387,0.007016264,0.001756401,0.004058965,0.01108865,0.003041024],"domain_scores_gemma":[0.9463991,0.008240032,0.002411758,0.01063957,0.02297185,0.009337746],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005833996,0.0004782063,0.001036807,0.0005409302,0.00007865022,0.00006961839,0.0001038179,0.001053342,0.001788875,0.001747409,0.9531012,0.03941765],"study_design_scores_gemma":[0.001293496,0.0007648604,0.01104366,0.0003614502,0.00008717691,0.0003213848,0.0003871214,0.008913883,0.008019732,0.003964751,0.9644206,0.0004219564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.03193012,0.02270776,0.02046297,0.01404947,0.01572172,0.01217773,0.6479288,0.04761872,0.1874027],"genre_scores_gemma":[0.03227182,0.001392728,0.03078704,0.00432455,0.001569264,0.006177685,0.8535456,0.003777121,0.06615412],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.1360615,"threshold_uncertainty_score":0.2705392,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01071705730125679,"score_gpt":0.2261840300999137,"score_spread":0.2154669727986569,"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."}}