{"id":"W3173373527","doi":"","title":"TREC 2020 Notebook: CAsT Track.","year":2020,"lang":"en","type":"article","venue":"Text REtrieval Conference","topic":"Topic Modeling","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Track (disk drive); Computer science; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006658957,0.004504459,0.00308029,0.009631332,0.002431271,0.00719639,0.005421328,0.002355945,0.2679192],"category_scores_gemma":[0.01100251,0.001313659,0.001438333,0.01025905,0.0008779931,0.006125077,0.002536385,0.002956116,0.2820902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004675356,"about_ca_system_score_gemma":0.01277009,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.167513,"about_ca_topic_score_gemma":0.2149768,"domain_scores_codex":[0.9971201,0.0005336733,0.0001765314,0.0002845172,0.00150092,0.0003842585],"domain_scores_gemma":[0.9829618,0.001595598,0.0007039419,0.001185708,0.01020368,0.003349389],"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":[0.00003026413,0.00001366763,0.00001995832,0.0001392052,0.000005262087,0.000003437343,0.000002090427,0.00008060235,0.000214068,0.0001217166,0.9926087,0.006760996],"study_design_scores_gemma":[0.0002270702,0.0001796208,0.002454943,0.0002885069,0.00006573498,0.00007316947,0.00004782663,0.001636488,0.002319575,0.002072472,0.9905272,0.0001073479],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"methods","genre_scores_codex":[0.002049759,0.01363951,0.009974361,0.007061492,0.02092871,0.001733451,0.7268223,0.02055333,0.1972371],"genre_scores_gemma":[0.005310373,0.005175546,0.01027976,0.002299771,0.004380962,0.001149142,0.6500084,0.004168643,0.3172274],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.2679192,"threshold_uncertainty_score":0.8962792,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06551698452288615,"score_gpt":0.2644454919931136,"score_spread":0.1989285074702274,"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."}}