{"id":"W1990080312","doi":"10.1142/s1793351x09000677","title":"A PEER DATA SHARING SYSTEM COMBINING SCHEMA AND DATA LEVEL MAPPINGS","year":2009,"lang":"en","type":"article","venue":"International Journal of Semantic Computing","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Schema (genetic algorithms); Data sharing; Theoretical computer science; Information retrieval; Data mining","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":[0.002074553,0.0001384323,0.0002727991,0.000193155,0.0001248242,0.0003643721,0.004262827,0.00003083269,0.000001449042],"category_scores_gemma":[0.0004072582,0.0001239681,0.00002984583,0.0001343921,0.00002939768,0.00228369,0.003877031,0.0002355858,0.000003617576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005196556,"about_ca_system_score_gemma":0.00006962679,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003299841,"about_ca_topic_score_gemma":0.000002305335,"domain_scores_codex":[0.9977425,0.0000306916,0.0007043471,0.0004653886,0.0008610401,0.0001960095],"domain_scores_gemma":[0.997447,0.0001431937,0.0006567739,0.00104695,0.0006135024,0.00009258334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007842268,0.0002548835,0.008075833,0.0002781358,0.0008137802,0.002652566,0.004726736,0.002038972,0.005541763,0.5150568,0.01113019,0.4493519],"study_design_scores_gemma":[0.0007958857,0.00005428924,0.00309446,0.001862587,0.00001798613,0.004441482,0.0006470641,0.9768613,0.0001221316,0.0004356765,0.01144594,0.0002212283],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02420656,0.0003605016,0.9706619,0.003140182,0.00114728,0.00005209854,0.00003376789,0.00004883252,0.0003488132],"genre_scores_gemma":[0.7791898,0.00001009032,0.2201501,0.0001402243,0.0004327639,6.082863e-8,0.00003042649,0.000005728938,0.00004079579],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9748223,"threshold_uncertainty_score":0.7921464,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136610239190472,"score_gpt":0.3523066023592655,"score_spread":0.2386455784402183,"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."}}