{"id":"W3196867679","doi":"10.14778/3476311.3476364","title":"RONIN","year":2021,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"","keywords":"Computer science; Information retrieval; Set (abstract data type); Data mining; Focus (optics); Nearest neighbor search; Data set; Artificial intelligence","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":[0.004163236,0.001684132,0.001563735,0.004317379,0.001423571,0.00700567,0.00339539,0.001632637,0.2390095],"category_scores_gemma":[0.01500348,0.000985006,0.001495841,0.003933688,0.0008685258,0.006416695,0.005325831,0.002052159,0.1975139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00131184,"about_ca_system_score_gemma":0.002443461,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002743669,"about_ca_topic_score_gemma":0.004540048,"domain_scores_codex":[0.9959908,0.0006127852,0.0003666948,0.001196156,0.001549198,0.0002844021],"domain_scores_gemma":[0.9940521,0.001446868,0.0003623173,0.002388682,0.001217181,0.0005327756],"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":[0.0005334227,0.00009758084,0.001877073,0.00103513,0.00008945593,0.0002897956,0.0002883275,0.0008264989,0.002884323,0.02922231,0.7598981,0.202958],"study_design_scores_gemma":[0.00005837122,0.00003684893,0.0007365806,0.0001263184,0.00002105325,0.000232158,0.00006523186,0.002447647,0.001802419,0.01124523,0.9831952,0.00003292917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006625061,0.005304344,0.1552717,0.008408885,0.003316893,0.0009021427,0.1276543,0.2559573,0.4365593],"genre_scores_gemma":[0.05532192,0.006303667,0.2168383,0.005851058,0.001455323,0.001810399,0.3537599,0.0449827,0.3136767],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.2390095,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1406382432299656,"score_gpt":0.3809184801512673,"score_spread":0.2402802369213017,"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."}}