{"id":"W4225552142","doi":"10.1145/3527546.3527570","title":"Report on the 15th round of NII testbeds and community for information access research (NTCIR-15)","year":2021,"lang":"en","type":"article","venue":"ACM SIGIR Forum","topic":"Topic Modeling","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Task (project management); Scope (computer science); Question answering; Information retrieval; World Wide Web; Artificial intelligence; Programming language","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":[0.04852826,0.002334373,0.002194376,0.004811707,0.005313405,0.009853782,0.004215344,0.004461051,0.0862949],"category_scores_gemma":[0.02938752,0.001114121,0.002052135,0.003428203,0.001279184,0.006166449,0.01366163,0.005157534,0.08978166],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005186523,"about_ca_system_score_gemma":0.02501539,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04794457,"about_ca_topic_score_gemma":0.06760067,"domain_scores_codex":[0.9805787,0.00561699,0.0007789745,0.001611958,0.007575648,0.003837603],"domain_scores_gemma":[0.915391,0.0058101,0.0017532,0.005706467,0.03341002,0.03792934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003269205,0.0002030643,0.0009256289,0.0001987017,0.00002517222,0.00006851013,0.0001534151,0.0001537347,0.0009347785,0.001534494,0.9821396,0.01333602],"study_design_scores_gemma":[0.0002842017,0.0003867997,0.007978342,0.0001930557,0.00005036005,0.00005951138,0.0007003463,0.0006589511,0.001891116,0.001765866,0.9859476,0.00008382347],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"review","genre_scores_codex":[0.02297,0.01111493,0.04727844,0.09264924,0.07896478,0.02329331,0.4696758,0.02008295,0.2339705],"genre_scores_gemma":[0.04066971,0.002736927,0.06202541,0.01688083,0.004665878,0.01933954,0.609072,0.005117218,0.2394926],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.0862949,"threshold_uncertainty_score":0.2886852,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1691181348945088,"score_gpt":0.396189058206301,"score_spread":0.2270709233117922,"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."}}