{"id":"W1528282505","doi":"10.1007/978-3-642-14556-8_33","title":"University of Waterloo at INEX 2009: Ad Hoc, Book, Entity Ranking, and Link-the-Wiki Tracks","year":2010,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Web Data Mining and Analysis","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Information retrieval; Computer science; PageRank; Redundancy (engineering); Ranking (information retrieval); Post hoc; Baseline (sea); World Wide Web; Track (disk drive); Question answering","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000950467,0.0003618149,0.0004978999,0.0004247982,0.0004713333,0.0002675939,0.003328787,0.0003338833,0.00005984211],"category_scores_gemma":[0.00005820452,0.0002901039,0.0001370517,0.0004662954,0.001422363,0.0005535211,0.002260747,0.0008790357,0.00002439236],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008540726,"about_ca_system_score_gemma":0.0002393725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001662847,"about_ca_topic_score_gemma":0.001300065,"domain_scores_codex":[0.9973474,0.00004636462,0.0003229663,0.001171261,0.000679543,0.0004324347],"domain_scores_gemma":[0.9975172,0.0003028273,0.0003251677,0.001483337,0.0002268793,0.0001445922],"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":[0.00001855627,0.00003817794,0.000399803,0.00007222981,0.00005941216,0.0001222784,0.006145854,0.001128291,0.001818044,0.00152778,0.0002159013,0.9884537],"study_design_scores_gemma":[0.002616063,0.0008444348,0.004953764,0.001521065,0.0003506823,0.0004208308,0.000005131542,0.5553601,0.01676685,0.04484675,0.368534,0.003780334],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004871998,0.002084703,0.9899178,0.001586732,0.0006944271,0.0001846029,0.00002819859,0.00008026994,0.0005513366],"genre_scores_gemma":[0.3621524,0.002880059,0.613022,0.00293597,0.0009794511,0.000002397202,0.00007074495,0.00008996623,0.01786699],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9846733,"threshold_uncertainty_score":0.9999551,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009514738419151883,"score_gpt":0.2004728687532243,"score_spread":0.1909581303340725,"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."}}