{"id":"W1786535492","doi":"10.14778/2824032.2824111","title":"Gain control over your integration evaluations","year":2015,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Data integration; Generality; Scalability; Information integration; Schema (genetic algorithms); System integration; Metadata; Reuse; Schema evolution; Data mining; Information retrieval; Database schema; Database; World Wide Web; Database design","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":[0.1063813,0.002520536,0.002459399,0.002974624,0.001748145,0.01217621,0.003552817,0.003157414,0.02301918],"category_scores_gemma":[0.4770892,0.001401787,0.001188351,0.002655848,0.002442268,0.01881506,0.0102555,0.006465422,0.01166966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002603085,"about_ca_system_score_gemma":0.003440201,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001333305,"about_ca_topic_score_gemma":0.001436534,"domain_scores_codex":[0.8949157,0.05531877,0.006859311,0.01277433,0.02700165,0.003130261],"domain_scores_gemma":[0.627287,0.1842323,0.01158457,0.1190653,0.05112811,0.006702751],"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":[0.003019834,0.0007484563,0.01348492,0.0008486093,0.0003992798,0.0003476425,0.001994675,0.01331518,0.01043974,0.1033843,0.1283565,0.723661],"study_design_scores_gemma":[0.001586958,0.0009245561,0.0115912,0.001546666,0.0004589109,0.0007028535,0.002129319,0.314061,0.04536195,0.3192088,0.3018815,0.0005462982],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.07550193,0.002284304,0.7182451,0.02182412,0.00306989,0.001946155,0.002752355,0.04086979,0.1335063],"genre_scores_gemma":[0.6144798,0.0005733819,0.334373,0.00552293,0.001250317,0.002691156,0.002567128,0.01899298,0.01954928],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1063813,"threshold_uncertainty_score":0.5626049,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05622812223294921,"score_gpt":0.3080118234033961,"score_spread":0.2517837011704468,"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."}}