{"id":"W2162294668","doi":"10.1145/373626.373713","title":"The Clio project","year":2001,"lang":"en","type":"article","venue":"ACM SIGMOD Record","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":343,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Set (abstract data type); Data integration; Transformation (genetics); Data science; Software engineering; Programming language; Database","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":[0.01067883,0.002381995,0.001069551,0.00590226,0.002482725,0.008610901,0.004487089,0.003244307,0.06462744],"category_scores_gemma":[0.01702386,0.0008432479,0.001445209,0.004840857,0.001986708,0.009700947,0.01285239,0.003477418,0.03984128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002422618,"about_ca_system_score_gemma":0.006040446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008760191,"about_ca_topic_score_gemma":0.005299137,"domain_scores_codex":[0.9921158,0.002217123,0.0003740608,0.001182567,0.003040818,0.001069534],"domain_scores_gemma":[0.9905483,0.00191132,0.0005395493,0.002748453,0.002253227,0.0019991],"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":[0.00094317,0.0003191301,0.002400488,0.001052637,0.0001009994,0.000450701,0.001523488,0.002024945,0.005215873,0.1120507,0.5481361,0.3257818],"study_design_scores_gemma":[0.0001580737,0.0000936694,0.0005768746,0.0002416912,0.00003126176,0.0002720869,0.0004380072,0.003063784,0.001923448,0.01632028,0.9768395,0.00004134628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02523445,0.01704869,0.3304032,0.01410021,0.002954996,0.002244452,0.0355165,0.1370175,0.43548],"genre_scores_gemma":[0.1015301,0.01094154,0.3616555,0.006476815,0.00113022,0.00350873,0.1967767,0.04293669,0.2750437],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.06462744,"threshold_uncertainty_score":0.2162003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03176797434431566,"score_gpt":0.2904903462625901,"score_spread":0.2587223719182744,"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."}}