{"id":"W2380693061","doi":"","title":"A Preliminary Study on Grid Services Based on Ontology and its Application","year":2007,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Ontology; Grid; Work (physics); Ontology-based data integration; Grid computing; Software engineering; World Wide Web; Data science; Information retrieval; Semantic Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002605346,0.0002410653,0.0001839486,0.0002603287,0.0003589409,0.00007874714,0.0008849668,0.00008317835,0.000001628396],"category_scores_gemma":[5.366344e-7,0.0002425357,0.00004925083,0.0005888143,0.00003126958,0.0001592877,0.000214902,0.0001967673,0.00008766313],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006579793,"about_ca_system_score_gemma":0.00002743633,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007034915,"about_ca_topic_score_gemma":0.000007575638,"domain_scores_codex":[0.9982139,0.00003576289,0.0003644568,0.000857301,0.0002321148,0.0002964629],"domain_scores_gemma":[0.9985646,0.0002893629,0.0001667118,0.0007028371,0.0001410711,0.0001354419],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007749174,0.003612845,0.001052574,0.00006462097,0.00003801679,0.000009648015,0.0008322963,0.005877901,0.004401315,0.3391992,0.0003508626,0.6444832],"study_design_scores_gemma":[0.002171838,0.002655397,0.1186669,0.00007656461,0.00004774085,0.00007736879,0.0001474996,0.4875163,0.01273786,0.03319141,0.3413534,0.001357774],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01120201,0.00004291365,0.983522,0.001396576,0.00001692033,0.002432785,0.0000103985,0.0005336958,0.0008426903],"genre_scores_gemma":[0.7426986,0.000002584143,0.2527996,0.00251946,0.0001521562,0.001742169,0.00003699293,0.00001965733,0.0000287711],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7314966,"threshold_uncertainty_score":0.9890317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01058550974478054,"score_gpt":0.2931205807485872,"score_spread":0.2825350710038066,"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."}}