{"id":"W2158915197","doi":"10.1145/1067268.1067274","title":"The TREC terabyte retrieval track","year":2005,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Terabyte; Computer science; Information retrieval; Search engine indexing; Track (disk drive); Context (archaeology); Automatic indexing","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":[],"consensus_categories":[],"category_scores_codex":[0.0002560455,0.0001072803,0.0001055833,0.00002899677,0.0002898567,0.0002304367,0.002034093,0.00005427605,0.00001064014],"category_scores_gemma":[0.000338978,0.00006625864,0.00007652624,0.0001895579,0.00006937379,0.0003739824,0.0004013439,0.0001165786,0.0002797773],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000253903,"about_ca_system_score_gemma":0.00003310008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009094049,"about_ca_topic_score_gemma":0.00006537562,"domain_scores_codex":[0.9989083,0.00003281278,0.0001752682,0.0002483666,0.0002123321,0.0004228626],"domain_scores_gemma":[0.9983655,0.0003786216,0.00005366746,0.001117749,0.0000322436,0.00005224711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000248359,0.00004335475,0.002308056,0.000002854521,0.00002341459,0.00001413823,0.0006089013,0.00001564455,0.0007454841,0.05273231,0.05563683,0.8878442],"study_design_scores_gemma":[0.0005394501,0.0001580773,0.01908408,0.00001141356,0.000008817901,0.00005391785,0.0002293438,0.007225477,0.02001391,0.03317363,0.9192076,0.000294337],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5177381,0.005486474,0.06033257,0.3743388,0.003605905,0.0005714467,0.000004488651,0.0015544,0.03636777],"genre_scores_gemma":[0.9816778,0.00008671423,0.0133613,0.001752421,0.0001730027,0.000004066639,5.980638e-7,0.00000703923,0.002937096],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8875498,"threshold_uncertainty_score":0.3779885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01575666061787809,"score_gpt":0.2564480901007232,"score_spread":0.2406914294828451,"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."}}