{"id":"W1974717772","doi":"10.1145/1966357.1966360","title":"Closed world chasing","year":2011,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Semantics (computer science); Computer science; Monotonic function; Data exchange; Theoretical computer science; Trough (economics); Chase; Algorithm; Programming language; Mathematics; Database","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":[0.00006610667,0.00005079796,0.00005955814,0.00004854714,0.00005250405,0.00001264488,0.000183688,0.00000832305,0.00009970573],"category_scores_gemma":[0.000005710979,0.00003902828,0.00001856073,0.0001765034,0.00001602262,0.0005099952,0.0001130432,0.0000313042,0.0001346396],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006098343,"about_ca_system_score_gemma":0.00001095074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009148075,"about_ca_topic_score_gemma":0.00009405947,"domain_scores_codex":[0.9995583,0.00001037619,0.00008922973,0.0001480421,0.00006909159,0.0001249625],"domain_scores_gemma":[0.9995576,0.00001066732,0.00002569325,0.0003480924,0.0000172827,0.00004073808],"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":[8.186448e-7,0.000008214583,0.0002225278,0.000002138063,0.000001733321,0.000007241052,0.0003213575,2.400772e-7,0.0002315271,0.9809253,0.0004463737,0.01783259],"study_design_scores_gemma":[0.0005657843,0.00009449149,0.01496831,0.00006813934,0.00000379935,0.00003621611,0.0002462748,0.006150153,0.06435388,0.02171008,0.891111,0.0006919169],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008041606,0.00002753696,0.8681915,0.00005527719,0.0002100241,0.00003574433,5.965977e-7,0.0001689854,0.1305062],"genre_scores_gemma":[0.2592311,0.000001593053,0.734508,0.0002969635,0.00004364112,0.000004331608,7.033391e-7,0.000003865248,0.00590986],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9592152,"threshold_uncertainty_score":0.1730565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05580742758565782,"score_gpt":0.232871795204453,"score_spread":0.1770643676187952,"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."}}