{"id":"W2001028140","doi":"10.1109/icsc.2012.24","title":"Semantic Schema Mapping Using Property Precedence Relations","year":2012,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Schema (genetic algorithms); Exploit; Database schema; Information retrieval; Information schema; Conceptual schema; Theoretical computer science; Data mining; Semi-structured model; 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":[0.005144553,0.0009464979,0.0007284863,0.004103782,0.001449171,0.003530232,0.001628057,0.001050929,0.00719623],"category_scores_gemma":[0.01614611,0.0007442952,0.002132838,0.004309727,0.001577079,0.009407193,0.003019568,0.001930914,0.001505404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00111201,"about_ca_system_score_gemma":0.002211763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003217311,"about_ca_topic_score_gemma":0.003222238,"domain_scores_codex":[0.9967847,0.001174872,0.0003282083,0.0007423085,0.0008451097,0.0001248326],"domain_scores_gemma":[0.9950144,0.00255876,0.000321999,0.001365126,0.0005956726,0.0001439823],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007906548,0.0001171218,0.001394428,0.0003092688,0.00008771036,0.0004156394,0.0009559806,0.02693184,0.004194562,0.5934492,0.007846434,0.3642187],"study_design_scores_gemma":[0.00004473325,0.00004351743,0.0004419736,0.0001357465,0.00008347283,0.0006387526,0.0002889586,0.2405535,0.0107577,0.6852695,0.0616884,0.00005369618],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002675196,0.0001501098,0.9930693,0.000259009,0.00004794444,0.0001001121,0.0001798519,0.001026605,0.002491999],"genre_scores_gemma":[0.05842451,0.0004689368,0.9378915,0.00009225691,0.00003966165,0.0001241369,0.0008040558,0.0003130424,0.001841745],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00719623,"threshold_uncertainty_score":0.02720731,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0859176509400475,"score_gpt":0.2817388544904998,"score_spread":0.1958212035504523,"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."}}