{"id":"W2403585915","doi":"","title":"University of Ottawa at TREC 2010 Web Track Ranking Web Documents Using Meta-Data","year":2010,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Track (disk drive); Ranking (information retrieval); Information retrieval; World Wide Web","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00103726,0.0002156264,0.0004913894,0.0001770195,0.0002503702,0.0001667136,0.003318174,0.0001330705,0.001246498],"category_scores_gemma":[0.000189546,0.0002024459,0.0001619679,0.0007426015,0.0001984425,0.001202902,0.001464445,0.0003651234,0.0001159452],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003531476,"about_ca_system_score_gemma":0.0003993465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004805538,"about_ca_topic_score_gemma":0.0009019474,"domain_scores_codex":[0.9979363,0.0001376276,0.0003107443,0.0007515267,0.0005275565,0.0003362331],"domain_scores_gemma":[0.9970679,0.0001733201,0.0003210251,0.00206836,0.0002143569,0.000155074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003003319,0.0006724467,0.02902361,0.0002141246,0.004390669,0.0003798392,0.003047994,0.00016528,0.839623,0.0314084,0.01832224,0.07245202],"study_design_scores_gemma":[0.001991241,0.0001280397,0.004378405,0.00007712156,0.002111324,0.00007161857,0.0001599544,0.9235734,0.01548957,0.0005045937,0.05050283,0.001011952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9462008,0.0001843667,0.04754441,0.0005656963,0.000634532,0.0001590795,0.0003378819,0.0001838633,0.00418932],"genre_scores_gemma":[0.9747522,0.00004208126,0.02280725,0.00003007767,0.00003530802,9.788709e-8,0.00004911232,0.000008385542,0.002275428],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9234081,"threshold_uncertainty_score":0.9996665,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0936111074354567,"score_gpt":0.2862664339247185,"score_spread":0.1926553264892618,"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."}}