{"id":"W2913175468","doi":"","title":"Proceedings of the 23rd Brazilian symposium on Databases","year":2008,"lang":"en","type":"article","venue":"Brazilian Symposium on Databases","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Computer science; Database; Presentation (obstetrics); Latin Americans; Library science; World Wide Web; Political science; Geography","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004391428,0.0007300085,0.0007296461,0.0003393432,0.000901078,0.00007359947,0.002154999,0.00009153054,0.00006532989],"category_scores_gemma":[0.0002404664,0.0005322626,0.0003026576,0.001237137,0.0006595154,0.002752438,0.001423304,0.0004828792,0.0002410599],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001173944,"about_ca_system_score_gemma":0.0002708938,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00031778,"about_ca_topic_score_gemma":0.00009718513,"domain_scores_codex":[0.9950645,0.0001120401,0.0009674992,0.001583624,0.001366957,0.0009053743],"domain_scores_gemma":[0.9953483,0.0004068466,0.0006460064,0.002939362,0.0003117814,0.0003476859],"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":[0.0002673833,0.001076539,0.008597983,0.0004281682,0.0001072221,0.0001123244,0.001032906,0.0002011756,0.09256911,0.7612239,0.1331858,0.001197503],"study_design_scores_gemma":[0.001276835,0.0005811022,0.007544392,0.001235684,0.0000435735,0.0004089934,0.0002728498,0.0005106538,0.26048,0.00006233553,0.7264265,0.001157019],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7928149,0.001155215,0.04831668,0.02055972,0.009519692,0.007062257,0.02118337,0.003157188,0.09623097],"genre_scores_gemma":[0.9018158,0.001654642,0.07188922,0.008520093,0.00176367,0.0004996406,0.001133612,0.0003440592,0.0123793],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7611616,"threshold_uncertainty_score":0.9997129,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02597160949349056,"score_gpt":0.259488498731684,"score_spread":0.2335168892381934,"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."}}