{"id":"W2129564368","doi":"10.1145/1645953.1646165","title":"(Not) yet another matcher","year":2009,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Schema matching; Computer science; Schema (genetic algorithms); Matching (statistics); Artificial intelligence; Data mining; Similarity measure; Data integration; Machine learning; 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":[0.00006339153,0.00004947654,0.00006126703,0.0000215018,0.0000223397,0.0000631513,0.0003930075,0.00002725853,0.0001009017],"category_scores_gemma":[0.00001029907,0.00003477847,0.0000237697,0.00008130831,0.00001018444,0.0001574092,0.0000341717,0.00002818793,0.0003282155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005189227,"about_ca_system_score_gemma":0.0000114922,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001061647,"about_ca_topic_score_gemma":0.000003732165,"domain_scores_codex":[0.9995775,0.000009443822,0.0000625924,0.0001348966,0.00008503967,0.0001305483],"domain_scores_gemma":[0.9996444,0.00002115112,0.00001278478,0.0002919991,0.00001207188,0.00001761214],"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":[0.000003961798,0.00007159609,0.0009018551,0.000002221606,0.000007869976,0.00004190012,0.0006370363,0.000006640134,0.003496872,0.6813843,0.1163456,0.1971003],"study_design_scores_gemma":[0.001272346,0.0004640252,0.452791,0.00002942178,0.00001020488,0.00009202005,0.0002521519,0.017968,0.119026,0.2420448,0.1649984,0.001051588],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03478387,0.0000844045,0.6385458,0.01783852,0.0003343107,0.00007033232,1.238657e-7,0.0007035275,0.3076391],"genre_scores_gemma":[0.9173612,0.000003884119,0.06079418,0.01117998,0.00002519823,7.439809e-7,7.613563e-8,0.000001781138,0.01063297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8825773,"threshold_uncertainty_score":0.4218655,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02317223723397408,"score_gpt":0.2521749211032938,"score_spread":0.2290026838693197,"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."}}