{"id":"W4247944724","doi":"10.1007/978-1-4939-7131-2_101021","title":"Schema Matching","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Matching (statistics); Schema (genetic algorithms); Schema matching; Information retrieval; Database; Mathematics; Statistics; Data integration","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":[0.001170802,0.0009873544,0.0007996751,0.003146978,0.0009104516,0.00380595,0.002291957,0.001322614,0.08194811],"category_scores_gemma":[0.00512256,0.0006272233,0.00169698,0.004397607,0.0005671435,0.007435151,0.00325465,0.00165238,0.03605553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001259782,"about_ca_system_score_gemma":0.001972044,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002786068,"about_ca_topic_score_gemma":0.002522124,"domain_scores_codex":[0.9985776,0.0001724931,0.0001399539,0.0005371626,0.0004826777,0.00009002212],"domain_scores_gemma":[0.9987501,0.0002247509,0.00004268988,0.0006208543,0.0003165122,0.00004507105],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001090729,0.0001537861,0.0007714337,0.0004737768,0.00007225593,0.0001621196,0.000242988,0.001880304,0.005758518,0.1605379,0.134905,0.694933],"study_design_scores_gemma":[0.0000334492,0.00004349604,0.0005698229,0.0002719016,0.00009286511,0.0009265899,0.0003427865,0.02089331,0.01894137,0.1410811,0.8167652,0.00003811853],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007461771,0.00287301,0.7823548,0.002293233,0.001042936,0.0009173212,0.01361555,0.01762227,0.1718192],"genre_scores_gemma":[0.08132081,0.004717211,0.6988642,0.001728577,0.0002834296,0.0005239024,0.06503869,0.004267638,0.1432556],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.08194811,"threshold_uncertainty_score":0.2741437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01713854074624611,"score_gpt":0.2228216220217063,"score_spread":0.2056830812754602,"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."}}