{"id":"W1865928316","doi":"","title":"On Order Dependencies for the Semantic Web","year":2009,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; OWL-S; Semantic Web; Web service; Ontology; Web Ontology Language; Semantic Web Stack; Description logic; Social Semantic Web; Ontology language; Plan (archaeology); Order (exchange); Semantic Web Rule Language; Information retrieval; World Wide Web; Theoretical computer science; Semantic analytics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006217039,0.0008703459,0.0009807518,0.002634015,0.00231036,0.002796927,0.001656296,0.002100663,0.007680158],"category_scores_gemma":[0.02174828,0.001165625,0.001883595,0.003417459,0.003963736,0.01257878,0.00432299,0.005669282,0.001143583],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002594167,"about_ca_system_score_gemma":0.00182043,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0071863,"about_ca_topic_score_gemma":0.006780006,"domain_scores_codex":[0.9948604,0.002016705,0.0003886527,0.0006341054,0.001727547,0.0003725906],"domain_scores_gemma":[0.9817467,0.01349898,0.0006128243,0.002071871,0.001694992,0.0003746849],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003034577,0.00002411346,0.0001981134,0.00007008591,0.00001242747,0.0001383785,0.0001166434,0.01401883,0.0002103326,0.9651282,0.004605021,0.01544737],"study_design_scores_gemma":[0.00001154484,0.000004405797,0.00004564564,0.00002919449,0.000007828375,0.00003457769,0.00002077476,0.03805514,0.0002761938,0.9519878,0.009518515,0.000008362775],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01167104,0.001211656,0.9574042,0.006341663,0.0005525072,0.0001205606,0.0007393029,0.0007052951,0.02125375],"genre_scores_gemma":[0.3631939,0.003366219,0.6094535,0.002974871,0.001693881,0.0005036147,0.002644109,0.0007906591,0.01537927],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007680158,"threshold_uncertainty_score":0.03287923,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01627099205929031,"score_gpt":0.2613462749511629,"score_spread":0.2450752828918726,"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."}}