{"id":"W2107047397","doi":"10.14778/1687553.1687600","title":"SMDM","year":2009,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada)","funders":"","keywords":"Computer science; Ontology; Semantics (computer science); RDF; Business domain; IBM; Domain (mathematical analysis); Software engineering; Semantic Web; Business rule; Business process; Information retrieval; Programming language; Engineering","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":[0.0001488028,0.0000781644,0.000106938,0.00003533276,0.0000613972,0.0000553159,0.001152537,0.00002396714,0.000003430638],"category_scores_gemma":[0.00005325329,0.00004689565,0.00006818728,0.0001993705,0.00003001604,0.0001985487,0.0001997497,0.00006055711,0.00000847609],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002066698,"about_ca_system_score_gemma":0.0000123837,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008858319,"about_ca_topic_score_gemma":3.671084e-7,"domain_scores_codex":[0.9992835,0.000002040387,0.0001419583,0.0001648673,0.0002349162,0.0001727466],"domain_scores_gemma":[0.9996376,0.00001434359,0.00009972717,0.0001497487,0.0000703877,0.00002820662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000007882363,0.00014072,0.00397272,0.00002383113,0.000018661,7.977604e-7,0.001144536,0.000005192799,0.05859876,0.8718897,0.01065035,0.05354688],"study_design_scores_gemma":[0.0005718819,0.0002851032,0.07978327,0.00008808699,0.00001820895,0.00003594228,0.0002211014,0.001292125,0.7094968,0.1992545,0.008708642,0.0002443487],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7401512,0.0008707627,0.005461815,0.05408143,0.001221587,0.0008228516,0.000001101563,0.0005770625,0.1968122],"genre_scores_gemma":[0.9893624,0.00001723284,0.00965949,0.0006183233,0.00003241177,0.000004400631,2.635046e-8,0.000001814173,0.0003039189],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6726352,"threshold_uncertainty_score":0.2141719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009923090580914845,"score_gpt":0.21368471931581,"score_spread":0.2037616287348951,"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."}}