{"id":"W109312419","doi":"","title":"Retrospective on Clio: Schema Mapping and Data Exchange in Practice.","year":2007,"lang":"en","type":"article","venue":"Description Logics","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"IBM; Computer science; Schema (genetic algorithms); Research center; Library science; Data science; Operations research; Information retrieval; Political science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001527556,0.00009654517,0.0001254408,0.0001714992,0.00006905119,0.0001369268,0.0005151947,0.00008539305,0.000003476685],"category_scores_gemma":[0.000787498,0.0000856876,0.00001168746,0.0003740528,0.00004705948,0.001061618,0.0004043739,0.000182133,0.0000229681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007666896,"about_ca_system_score_gemma":0.00001494614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005566204,"about_ca_topic_score_gemma":0.0001060584,"domain_scores_codex":[0.9988801,0.00005439731,0.0001834717,0.0004438129,0.0002021666,0.0002359977],"domain_scores_gemma":[0.9990278,0.0001362468,0.00009358882,0.0006396401,0.00005942119,0.00004323507],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001071801,0.0004636945,0.1150039,0.00006244285,0.0000404153,0.0006991667,0.006262343,0.00001172423,0.002512293,0.6893753,0.006179698,0.1792819],"study_design_scores_gemma":[0.0008280139,0.0002812899,0.9037181,0.00008576195,0.000009839429,0.0001221186,0.002458903,0.01477848,0.0003690095,0.01417707,0.06278267,0.0003888006],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1293044,0.001105793,0.8401581,0.003401591,0.0009597935,0.0002884067,0.000004579992,0.0002602439,0.02451709],"genre_scores_gemma":[0.923174,0.0002609937,0.07517183,0.001203586,0.00008132283,0.000002440991,0.000005418058,0.000004215412,0.0000962422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7938696,"threshold_uncertainty_score":0.3494239,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1312090230740086,"score_gpt":0.3333104883830632,"score_spread":0.2021014653090546,"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."}}