{"id":"W3129744650","doi":"10.14778/3436905.3436907","title":"Astrid","year":2020,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Substring; Computer science; Suffix; String (physics); Embedding; String searching algorithm; Suffix tree; Prefix; Theoretical computer science; Artificial intelligence; Algorithm; Pattern matching; Data structure; Mathematics","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":[0.001321799,0.0000889443,0.0001762848,0.00004475603,0.00007984132,0.0001407286,0.001635069,0.00002013584,0.0002565692],"category_scores_gemma":[0.001789287,0.0000499467,0.000118964,0.0005834355,0.00007505417,0.0002649676,0.0009852855,0.00008348862,0.0002231132],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001758603,"about_ca_system_score_gemma":0.00001340137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001364988,"about_ca_topic_score_gemma":9.058845e-7,"domain_scores_codex":[0.9978124,0.00001169513,0.000443128,0.0002995112,0.001272508,0.0001607695],"domain_scores_gemma":[0.9991727,0.00009041185,0.0002964874,0.000174089,0.0001738307,0.00009240432],"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":[0.00008564116,0.0001367948,0.004930115,0.00006872585,0.00006106847,5.706894e-7,0.002677771,0.00003087498,0.01981383,0.1997659,0.7257321,0.04669653],"study_design_scores_gemma":[0.0005576225,0.0001477609,0.004036575,0.00002657684,0.00003228115,0.000001561814,0.003870434,0.0003229242,0.09918325,0.04242544,0.8492398,0.0001557966],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4308516,0.0002441013,0.001544972,0.234633,0.001236747,0.001868039,0.0001324767,0.0001911545,0.3292978],"genre_scores_gemma":[0.9946333,0.0000115368,0.0008514746,0.003094351,0.00008625298,0.00001289625,5.447293e-7,0.000005221107,0.001304485],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5637816,"threshold_uncertainty_score":0.3038391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2372725731202197,"score_gpt":0.3685803821593431,"score_spread":0.1313078090391233,"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."}}