{"id":"W1480424271","doi":"","title":"Relational methods in computer science : 8th International Seminar on Relational Methods in Computer Science 3rd International Workshop on Applications of Kleene Algebra and Workshop of COST Action 274: TARSKI, St. Catharines, ON, Canada, February 22-26, 2005 : selected revised papers","year":2006,"lang":"en","type":"book","venue":"Springer eBooks","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Kleene algebra; Relational algebra; Algebra over a field; Kripke semantics; Relational calculus; Duality (order theory); Mathematics; Universal algebra; Codd's theorem; Two-element Boolean algebra; Subalgebra; Relational database; Computer science; Relational model; Theoretical computer science; Discrete mathematics; Pure mathematics; Algebra representation; Intermediate logic; Description logic","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001756017,0.001250183,0.001348372,0.002289841,0.0007484697,0.003521412,0.001379742,0.0011302,0.04944176],"category_scores_gemma":[0.00235991,0.0008349864,0.0009187537,0.004429697,0.001298857,0.00436771,0.001307636,0.003213494,0.01717792],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002262173,"about_ca_system_score_gemma":0.001832298,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00207985,"about_ca_topic_score_gemma":0.003623904,"domain_scores_codex":[0.9987029,0.000142644,0.00007224199,0.0002232158,0.0007985169,0.0000605182],"domain_scores_gemma":[0.9986182,0.0005226532,0.00005545122,0.0001627562,0.0004924703,0.0001483906],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003417877,0.00004996218,0.0000737821,0.0006871357,0.00002270162,0.00003210737,0.0002712096,0.0005082516,0.001475232,0.07291064,0.7426646,0.1812703],"study_design_scores_gemma":[0.00001268078,0.00002650094,0.0003449551,0.0002478119,0.00001169262,0.0001492801,0.00005652288,0.0005010093,0.0006235069,0.02418616,0.9738286,0.00001134988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"review","genre_gemma":"other","genre_scores_codex":[0.00177094,0.5219229,0.1130408,0.01614352,0.0270955,0.0001955316,0.001258676,0.001760099,0.3168119],"genre_scores_gemma":[0.02202155,0.2493532,0.0553376,0.003362102,0.01792932,0.0002299249,0.002215021,0.001903271,0.647648],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.04944176,"threshold_uncertainty_score":0.1653991,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02789891293622702,"score_gpt":0.3208834719272247,"score_spread":0.2929845589909976,"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."}}