{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002533592,0.00009831609,0.00009606039,0.00003503499,0.0003213318,0.00007626139,0.0009620723,0.00002914284,0.000005928815],"category_scores_gemma":[0.0002013191,0.00005952154,0.00004863336,0.0003290305,0.00004450929,0.0005016279,0.0004734308,0.00009997709,0.00009527167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001897826,"about_ca_system_score_gemma":0.00005024514,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001819963,"about_ca_topic_score_gemma":0.0004177155,"domain_scores_codex":[0.9990768,0.00005677253,0.0001731607,0.0002655329,0.0001553581,0.0002724093],"domain_scores_gemma":[0.9982502,0.0002516623,0.00007288758,0.00135066,0.00003555289,0.0000390026],"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":[0.0000115283,0.00001706073,0.001735345,0.00000433066,0.00001051156,0.00001698228,0.0001743807,0.000003075662,0.00014451,0.1267185,0.01371622,0.8574476],"study_design_scores_gemma":[0.00009251935,0.00005624884,0.0004152221,0.000009869996,0.000001131949,0.00002836031,0.00003768624,0.000929342,0.000116996,0.005422624,0.9927845,0.0001055165],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01279748,0.000494583,0.9676254,0.003037106,0.002014798,0.000378603,0.00000427948,0.0003369183,0.01331083],"genre_scores_gemma":[0.2095221,0.004926079,0.7359444,0.001483586,0.002118556,0.0004590952,0.000017429,0.00007811592,0.04545057],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9790683,"threshold_uncertainty_score":0.2471457,"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."}}